雖然這篇PSIPRED鄉民發文沒有被收入到精華區:在PSIPRED這個話題中,我們另外找到其它相關的精選爆讚文章
[爆卦]PSIPRED是什麼?優點缺點精華區懶人包
你可能也想看看
搜尋相關網站
-
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#1http:bioinf.cs.ucl.ac.uk.psipred - UCL Bioinformatics group
沒有這個頁面的資訊。
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#2PSIPRED - bio.tools
The PSIPRED Protein Analysis Workbench unites many available analysis tools into a single web based framework. An excellent tool for prediction of secondary ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#3PSIPRED - Wikipedia
PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#4The PSIPRED protein structure prediction server - PubMed
Summary: The PSIPRED protein structure prediction server allows users to submit a protein sequence, perform a prediction of their choice and receive the ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#5PSIPRED Protein Analysis Workbench: 20 years on
由 DWA Buchan 著作 · 2019 · 被引用 684 次 — The PSIPRED Protein Analysis Workbench is a world renowned web service providing a diverse suite of protein prediction and annotation tools ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#6How to predict secondary structure of a protein ... - YouTube
This tutorial is for biologists to learn basics of secondary structure prediction methods.#Protein # Psipred #Bioinformatics #Urdu #English ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#7(PDF) The PSIPRED protein structure prediction server
The popular PSIPRED server allows users to perform secondary structure prediction, transmembrane topology prediction and protein fold recognition. More recent ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#8PSIPRED Protein Secondary Structure Predictor - GitHub
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#9psipred - Twitter
News and server updates for the PSIPRED Protein Analysis Workbench email: [email protected].
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#10PSIPRED - Nanowerk
PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural network machine ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#11PSIpred - Secondary structure prediction of proteins
PSIPRED PREDICTION RESULTS Key Conf: Confidence (0=low, 9=high) Pred: Predicted secondary structure (H=helix, E=strand, C=coil) AA: Target sequence Conf: ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#12psipred 4.0 (default version) - BioWeb - Institut Pasteur
PSIPRED is a simple and accurate secondary structure prediction method, incorporating two feed-forward neural networks which perform an analysis on output ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#13PSIPRED PREDICTION RESULTS Key Conf
PSIPRED PREDICTION RESULTS. Key. Conf: Confidence (0=low, 9=high). Pred: Predicted secondary structure (H=helix, E=strand, C=coil). AA: Target sequence.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#14Accelerating and enhancing the PSIPRED Workbench ... - GtR
The PSIPRED Workbench is a collection of Web servers maintained at UCL which does just this i.e. it allows biologists to predict the structure of their ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#15PSIpred - Ebisu
Overview. PSIPRED is a popular structure prediction method that incorporates two feed-forward neural networks to perform an analysis of results obtained by ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#16psipred - OpenEBench
Description : The PSIPRED Protein Analysis Workbench unites many available analysis tools into a single web based framework.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#17Protein Secondary Structure Prediction Based on Position ...
sets) the method presented here (PSIPRED) achieved an average Q3 score of between 76.5% to 78.3% depending on the precise de®nition of.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#18PSIPRED - Mathematical software - swMATH
The PSIPRED protein structure prediction server allows users to submit a protein sequence, perform a prediction of their choice and ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#19【4.2.3】蛋白质二级结构预测--psipred - Sam' Note
1.2 测试. cd /data/software/psipred/psipred/example ../BLAST+/runpsipredplus example.fasta Ru nning PSI-BLAST with sequence ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#20Team:NAWI Graz/Model/psipred - iGEM 2019
PSIPRED -Cartoon. "Predicted secondary structure elements per residue in g17 by PSIPRED in cartoon presentation.”
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#21[PDF] The PSIPRED protein structure prediction server
The PSIPRED protein structure prediction server allows users to submit a protein sequence, perform a prediction of their choice and receive ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#22EVA sec results for: PSIpred
METHOD url: PSIpred. METHOD quote: D Jones:: Protein secondary structure prediction based on position-specific scoring matrices.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#23The PSIPRED Protein Analysis Workbench: 20 years on
Abstract or Description. The PSIPRED Workbench is a web server offering a range of predictive methods to the bioscience community for 20 ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#24I am trying to run a psipred command, but it shos an error that ...
I ran a psipred command of pgenthreade.sh script: tcsh psipred /media/kakarot/ppi/genthreader/sequence.iter3.mtx ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#25Psipred - :: Anaconda.org
conda install. linux-64 v4.01; osx-64 v4.01. To install this package with conda run: conda install -c biocore psipred ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#26Psipred - metacpan.org
analyze_psipred. It will return the secondary structure prediction and sequence from psipred output file. Script to get the Smotif defintions from PSIPRED ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#27The PSIPRED protein structure prediction server - WRAP
Abstract. The PSIPRED protein structure prediction sewer allows users to submit a protein sequence, perform a prediction of their choice and receive the ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#28What does PSIPRED stand for? The Free Dictionary
PSIPRED secondary structure prediction showed the presence of 41% helix and 59% loop in the protein sequence of the RMYB gene (Supplementary file 1-S1).
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#29PRALINE sequence alignment results - Additional files - IBIVU
PSIPred_2.5 (Jones, 1999). Filename, Type, Description. MSCL_ECOLI-msl_ref7.psipred, output, Contains residues, predicted types and reliabilities.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#30Protein Analysis Toolkit PSIPRED
PSIPRED. Description, Secondary structure prediction based on neural networks. URL, http://bioinf.cs.ucl.ac.uk/psipred.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#31The PSIPRED protein structure prediction server - Academia ...
Summary: The PSIPRED protein structure prediction server allows users to submit a protein sequence, perform a prediction of their choice and receive the ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#32PSIPRED | LabWorm
The PSIPRED Protein Sequence Analysis Workbench aggregates several UCL structure prediction methods into one location. Users can submit a protein sequence, ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#33The PSIPRED Protein Analysis Workbench: 20 years ... - X-MOL
The PSIPRED Workbench is a web server offering a range of predictive methods to the bioscience community for 20 years.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#34Psipred | Industrial Research and Consultancy Centre - IIT ...
Psipred. Enter the search terms. Search. Prof. R R Joshi · Mathematics · [email protected] · Visit homepage. Search For.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#35Protein Secondary Structure
PSIpred - Prediction of secondary structure from multiple sequences. MEMSAT 2 - Prediction of transmembrane topology from multiple sequences.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#36Figure S1. Secondary structure and solvent ... - MDPI
Secondary structure and solvent accessibility predictions using the PSIPRED and. SABLE server. The predicted helices, β-strands, and coils are shown in pale ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#37The PSIPRED protein structure prediction server - Altmetric
10869041 · L. J. McGuffin, K. Bryson, D. T. Jones · The PSIPRED protein structure prediction server allows users to submit a protein sequence, perform a ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#38Run Multiple Sequences Through Psipred - Biostars
The PSIPRED workflow implemented by the scripts supplied in the distribution, is designed to work with a single input sequence.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#39psipred.pl - MMTSB
Description. This script calls PSIPRED to carry out secondary structure prediction for the given sequence. The sequence is read from a file which should contain ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#40Psipred - Bioinformatikpedia
This profile is normalized by PSIPRED. The prediction of an initial secondary structure is done by a neural network.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#41SSPrediction - RosettaCommons
If false, the psipred executable specified by cmd will be used. Autogenerated Tag Syntax Documentation: Uses the sequence in the pose to generate secondary ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#42Protein Secondary Structure Online Server Predictive Evaluation
PSRSM, MUFOLD, SPIDER, RAPTORX, JPRED and PSIPRED to evaluate the predicted secondary structure. The latest released protein from the Protein Data Bank ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#43PSIPRED安裝使用教學 - 風吹乾了我就走
PSIPRED 簡介. PSIPRED是一個蛋白質二級結構預測的軟體,使用neural networks的方法來建立預測model。大致上的原理將要預測的蛋白質,是先透過PSI-BLAST工具找出與此 ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#44external — PyRosetta 4.0 documentation
if cached psipred output has already been saved for the AA sequence of pose, the cached output will be returned. C++: core::io::external::PsiPredInterface:: ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#45Secondary Structure prediction of coat protein through ...
Fig S1: Secondary Structure prediction of coat protein through PsiPred. Drum roll represents helices, arrows represent β strands, and line is represents ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#46psipred.net
Find the best information and most relevant links on all topics related to This domain may be for sale!
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#47PSIPRED prediction results
PSIPRED PREDICTION RESULTS. Key. Conf: Confidence (0=low, 9=high) Pred: Predicted secondary structure (H=helix, E=strand, C=coil) AA: Target sequence.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#48BIOINFORMATICS - CiteSeerX
method for protein secondary structure prediction, called. HYPROSP, which combined our proposed knowledge-based prediction algorithm PROSP and PSIPRED.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#49Consensus-based Secondary Structure predictor (SSCon)
Similarly, to use SScon3, the user should collect prediction from the three ab initio predictors: SPINE X, PSIPRED and PORTER. Please follow the four steps ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#50Psipred Installation Tutorial - CD ComputaBio
PSIPRED is a simple and accurate secondary structure prediction method that combines two feedforward neural networks that analyze the output obtained from ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#51#!/usr/bin/perl # Add PSIPRED secondary structure prediction ...
#!/usr/bin/perl # Add PSIPRED secondary structure prediction to a FASTA of A3M alignment # Usage: addpsipred.pl [-a3m] file use strict; ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?>於ftp
-
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#52Protein structure prediction - Start Bioinformatics
A comparative account of protein structure prediction resources, feature-validations and application-based categorizations. PSIPRED Server/Suite ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#53Supplementary Fig. 2. Secondary structure analysis using ...
Page 1. Supplementary Fig. 2. Secondary structure analysis using PSIPRED.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#54Scalable web services for the PSIPRED ... - ScienceOpen
The PSIPRED workbench makes available the following sequence and structure annotation methods: PSIPRED,. GenTHREADER, pGenTHREADER, pDomTHREAD-.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#55Psipred run
Secondary Structure Information. To include secondary structure information, we extracted DSSP secondary structure annotations of each of the 2w residues, ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#56Protein Bioinformatics
Links and Supplements. Data Bases and Web Servers [ DSSP | DSSP CONT | STRIDE | PROMOTIF | PHD/PredictProtein | PSIPRED | JPRED ] Papers
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#57蛋白质二级结构预测PSIPRED方法的改进及其应用-手机知网
蛋白质二级结构预测PSIPRED方法的改进及其应用,蛋白质二级结构预测;;二面角;;特征提取;;神经网络;;支持向量机,认识蛋白质与蛋白质之间的相互作用以及了解蛋白质如何 ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#58PSIPRED4.02安装与配置教程 - 知乎专栏
PSIPRED 是一种简单而准确的蛋白质二级结构预测工具,它结合两个前馈神经网络,对PSI-BLAST结果进行分析处理.更多的信息, ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#59Journals AZ - Scientific Research Publishing
McGuffin, L.J., Bryson, K. and Jones, D.T. (2000) The PSIPRED protein structure prediction server. Bioinformatics, 16, 404-405.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#60PROtein SEquences and Chemical shift COrrelations
PSIPRED file format information. You can provide a PSIPRED output file if you have already run PSIPRED. This should be the .ss2 file (automatically ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#61PSIPRED | Bioinformatic Tools
PSIPRED : http://bioinf.cs.ucl.ac.uk/psipred/ is a simple and accurate secondary structure prediction method, incorporating two feed-forward ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#62[modeller_usage] Psipred output in MODELLER - Re
Is it possible de use PSIPRED program on a sequence and then use the output file, directly in MODELLER for it to generate MODELS using ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#63Index of /pdnet/data/psicov/features-raw/precomputed ...
Index of /pdnet/data/psicov/features-raw/precomputed-features/1smxA/psipred. [ICO], Name · Last modified · Size · Description. [PARENTDIR] ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#64Semi-Supervised Learning of Protein Secondary Structure ...
PSIPRED, along with other methods, is able to produce high accuracy predictions by leveraging valuable homology information found in multiple ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#65What does psipred mean - Definition of psipred - Search ...
PSIPRED (Psi-blast based secondary structure prediction) is a technique used to investigate protein structure. PSIPRED employs neural network, ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#66Scalable web services for the PSIPRED Protein Analysis ...
Here, we present the new UCL Bioinformatics. Group's PSIPRED Protein Analysis Workbench. The. Workbench unites all of our previously available.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#67The PSIPRED Protein Analysis Workbench: 20 years on - USI ...
The PSIPRED Workbench is a web server offering a range of predictive methods to the bioscience community for 20 years. Here, we present the work we have ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#68Comparison of secondary structure prediction from PSIPred ...
Sequence 1: Comparison of secondary structure prediction from PSIPred and NNPredict. Conf: 932245887889700660278525888999999999999998468898632338776176
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#69What does PSIPRED mean? - Acronyms and Slang
The Acronym / Slang PSIPRED means... AcronymsAndSlang. The PSIPRED acronym/abbreviation definition. The PSIPRED meaning is Protein Structure Prediction.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#70Protein Secondary Structure - ONLINE ANALYSIS TOOLS
PSIPRED Protein Sequence Analysis Workbench - includes PSIPRED v3.3 (Predict Secondary Structure); DISOPRED3 & DISOPRED2 (Disorder Prediction); pGenTHREADER ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#71Generating local sequence input features using the PSI ...
Generating local sequence input features using the PSI-BLAST, PSIPRED, SCRATCH and DISOPRED programs. · Jiangning Song · Hao Tan · Khalid Mahmood ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#72psipred : result
Psipred Residue Predictions ; C · o, n, f, : ; P · r, e, d, : ; A, A, : ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#73Secondary structure prediction —Bio-101
PRISPRED (http://bioinf.cs.ucl.ac.uk/psipred/), is an online server secondary structure generating tool that also predicts the transmembrane topology, ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#74The PSIPRED protein structure prediction server - Wikidata
The PSIPRED protein structure prediction server. scientific article (publication date: April 2000). In more languages. Spanish. No label defined.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#75Psipred installation - Bioinformatics Stack Exchange
I am trying to install psipred in a unix server. Psipred is installed, but fails because it can not find the correct database files. I have ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#76PSIPRED PREDICTION RESULTS Key Conf - Brandeis
Conf: Confidence (0 low, 9 high). Pred: Predicted secondary structure (H helix, E strand, C coil). AA: Target sequence. PSIPRED HFORMAT (PSIPRED V2.3 by ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#77PSIPRED - Wikiwand
PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. It uses artificial neural ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#78PSIPRED | タンパク質の二次構造予測ツール - bioinformatics
PSIPRED はアミノ酸配列からその二次構造を予測するツールである。ウェブ上で簡単に利用できる。 PSIPRED を利用するには PSIPRED のウェブサイトに ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#79[Guiblast-devel] Problem in MAKEMAT in PSIPRED
I was using PSIPRED but I am getting error: [makematrices] FATAL ... out all of the basic steps # required to make a PSIPRED V2 prediction.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#80GP0.4 from bacteriophage T7: in silico characterisation of its ...
The PSIPRED [67] secondary structure prediction for GP0.4 used in the ab initio modelling is shown below: red bars represent predicted α-helices and green ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#81How To Pronounce PSIPRED - pronouncekiwi
PSI-blast based secondary structure PREDiction (PSIPRED) is a method used to investigate protein structure. English (Canada) Pronunciation.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#82Protein Secondary Structure Prediction Using Cascaded ...
Both Q8 and Q3 accuracies are reported for SSpro, SPINE-X, PSIPRED, JPRED, Raptorx-SS8, DeepCNF and our model (DCRNN). Boldface numbers indicate best ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#83PSIpred [ゲノム解析ツール リンク集 - Tool] - NBDC
PSIpred. Categories, タンパク質配列解析・プロテオミクス | タンパク質二次構造予測. Name, PSIpred. Availability, WWW Download. Provider, UCL.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#84Essentials of Bioinformatics, Volume I: Understanding ...
PSIPRED is a high-quality SS predictor freely available since 1999 (Jones 1999). Its last version (v4.01) has been released in 2016. PSIPRED exploits the ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#85support:hpc:software:pispred [CSEWiki]
PSIPRED requires PSI-BLAST and Impala software from the NCBI toolkit, and also install appropriate sequence data banks.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#86PSIPRED | Foldit
PSIPRED. Rating: 0. Your rating: None. (Wed, 12/05/2018 - 00:34 | 0 comments). » Thumbnail · Sitemap Developed by: UW Center for Game Science, UW Institute ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#87psipred-4.01 - Fred Hutch EasyBuild Life Sciences
The PSIPRED Protein Sequence Analysis Workbench aggregates several UCL structure prediction methods into one location.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#88Psipred and other licenses | The Zhang Lab Message Boards
I am at a non-profit right now, but I am wondering about where I-TASSER could be used. It seems that psipred has its own license that would ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#89Where can I find instructions for installing PSIPRED for use ...
Instructions for installing PSIPRED on Linux are given in the Installation Guide. These instructions can also be used on a Mac.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#90Structure Prediction - UW Courses Web Server
Psipred and other state of the art methods use a neural network to extract information from multiple sequence alignments. The Psipred methodology ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#91Computational Methods for Protein Folding, Volume 120
TABLE VIII ( Continued ) Protein SSP Q3 Nies < 4 < 5 Å < 6 < 7 laj3 laj3 psipred zpred 93.88 93.88 94 98 1 2 1 2 cons 24 dsc mul lam3 lam3 lam3 lam3 lam3 ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#92Bioinformatics - A Student's Companion - 第 201 頁 - Google 圖書結果
Introduction PSIPRED, a web-based program, predicts protein secondary structures using a combination of evolutionary information and neural networks.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#93New Challenges in Computational Collective Intelligence
The experiments included three general SSP tools (PSIPRED, JNET, and Proteus CONSENSUS method) and five dedicated transmembrane predictors (TMMHMM, DAS, ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#94Exploring Bioinformatics - 第 233 頁 - Google 圖書結果
From the PSIPRED page, choose Predict Secondary Structure. (Notice that the same server offers two other structure prediction options.) ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#95The Human Histamine H_1tn3-receptor: A Molecular Modelling ...
... AAAGGARGFS AAWTAVLAAL MALLIVATVL PSIPRED MERAPPDGPL NASGALAGEA AAAGGARGFS ... FFLLNLAISD FLVGAFCIPL YVPYVLTGRW PSIPRED GNALVMLAFV ADSSLRTQNN FFLLNLAISD ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#96Pattern Recognition in Computational Molecular Biology: ...
Jones further enhanced the NN-based protein secondary structure prediction (PSIPRED) with an accuracy of ∼75% [20]. Perhaps the main difference between PHD ...
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#97Apache <[email protected]> To: [email protected] ...
Date: Thu, 25 Sep 2003 22:24:23 +0100. From: Apache <[email protected]>. To: [email protected]. Subject: cyp1a1 PSIPRED Results.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?> -
//=++$i?>//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['title'])?>
#98Prediction of α‐turns in proteins using PSI‐BLAST profiles and ...
We have also used multiple sequence alignment obtained from PSIBLAST and secondary structure information predicted by PSIPRED.
//="/exit/".urlencode($keyword)."/".base64url_encode($si['_source']['url'])."/".$_pttarticleid?>//=htmlentities($si['_source']['domain'])?>
psipred 在 コバにゃんチャンネル Youtube 的最佳解答
psipred 在 大象中醫 Youtube 的最佳解答
psipred 在 大象中醫 Youtube 的最佳貼文