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Links tagged with 'prediction'

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AlphaPredTool Content

http://www.imtech.res.in/raghava/alphapred/ [open in a new window]

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Protein > 2-D Structure Prediction

The AlphaPred server predicts the alpha turn residues in the given protein sequence. The method is based on the neural network training on PSI-BLAST generated position specific matrices and PSIPRED predicted secondary structure.

This content is being maintained by raghavagps.

links directory index: 39
TitlePublication YearGoogle Scholar Citation Count
Prediction of alpha-turns in proteins using PSI-BLAST profiles and secondary structure information200439
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tagsalpha-turns amino acid sequence ANN molecular sequence data neural networks (computer) prediction protein databases protein sequence analysis proteins roc curve secondary protein structure sequence alignment sequence-to-structure network statistical models structure-to-structure network

AtSubPTool Content

http://bioinfo3.noble.org/AtSubP/ [open in a new window]

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Model Organisms > Plants
Protein > Annotation and Function
Protein > Localization and Targeting

A highly accurate subcellular localization prediction tool for annotating the Arabidopsis thaliana proteome.

This content is being maintained by rkaundal.

links directory index: 13
TitlePublication YearGoogle Scholar Citation Count
Combining machine learning and homology-based approaches to accurately predict subcellular localization in Arabidopsis201013
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tagsamino acid sequence homology amino acids arabidopsis arabidopsis proteins artificial intelligence molecular sequence annotation Plant prediction protein databases protein sorting signals proteome roc curve species specificity subcellular fractions subcellular localization

BetatPred2Tool Content

http://www.imtech.res.in/raghava/betatpred2/ [open in a new window]

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Protein > 2-D Structure Prediction

The aim of BetaTPred2 server is to predict ß turns in proteins from multiple alignment by using neural network from the given amino acid sequence. For ß turn prediction, it uses the position specific score matrices generated by PSI-BLAST and secondary structure predicted by PSIPRED.

This content is being maintained by raghavagps.

links directory index: 94
TitlePublication YearGoogle Scholar Citation Count
Prediction of beta-turns in proteins from multiple alignment using neural network200394
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tagsalgorithms amino acid sequence beta-turns computer simulation factual databases molecular sequence data multiple sequence alignment neural networks (computer) prediction protein secondary protein structure statistical models

BTEVALTool Content

http://www.imtech.res.in/raghava/bteval [open in a new window]

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The aim of BTEVAL server is to evaluate beta turn prediction algorithms on a uniform data set of 426 proteins or subsets of these proteins. It is the new data set in which no two protein chains have more that 25% sequence identity and each chain contains minimum one beta turn.

This content is being maintained by raghavagps.

links directory index: 3
TitlePublication YearGoogle Scholar Citation Count
BTEVAL: a server for evaluation of beta-turn prediction methods20033
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tagsalgorithms amino acid sequence beta-turn btpred chou-fasman computational biology computer simulation gorbturn molecular models molecular sequence data prediction protein protein databases proteins secondary protein structure thornton

GAMMAPREDResource Content

http://www.imtech.res.in/raghava/gammapred/ [open in a new window]

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Protein > 2-D Structure Prediction

The GammaPred server predicts the gamma turn residues in the given protein sequence. The method is based on the neural network training on PSI-BLAST generated position specific matrices and PSIPRED predicted secondary structure.

This content is being maintained by raghavagps.

links directory index: 56
TitlePublication YearGoogle Scholar Citation Count
A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment200356
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tagsgamma turns molecular models Neural Network neural networks (computer) prediction protein databases proteins secondary protein structure sequence alignment sequence-to-structure network structure-to-structure network

nHLAPredTool Content

http://www.imtech.res.in/raghava/nhlapred [open in a new window]

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Protein > 3-D Structure Prediction
Protein > Domains and Motifs

A highly accurate method for predicting MHC Class I restricted T cell epitopes for a large number of MHC Class I alleles.

This content is being maintained by raghavagps.

links directory index: 35
TitlePublication YearGoogle Scholar Citation Count
A hybrid approach for predicting promiscuous MHC class I restricted T cell epitopes200735
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tagsalleles animals computational biology epitopes genetic databases histocompatibility antigens class i humans MHC class I mhc class i genes neural networks (computer) peptides prediction proteasome endopeptidase complex T cell t-lymphocyte epitopes

PredictProtein - Sequence Analysis, Structure and Function PredictionResource Content

http://www.predictprotein.org/ [open in a new window]

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Protein > 2-D Structure Prediction
Protein > Do-it-all Tools for Protein
Protein > Domains and Motifs
Protein > Localization and Targeting
Sequence Comparison > Multiple Sequence Alignments

service for protein structure prediction, protein sequence analysis, protein function prediction, protein sequence alignments, bioinformatics

links directory index: 993
TitlePublication YearGoogle Scholar Citation Count
The PredictProtein server2004776
The PredictProtein server2003217
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tagsartificial intelligence artificial neural network bioinformatics integral membrane proteins multiple sequence alignments neural networks prediction prediction WWW email server protein protein (secondary) structure (solvent accessibility) prediction protein conformation protein databases protein evolution protein sequence analysis protein structure prediction proteins secondary protein structure secondary structure sequence alignment tertiary protein structure time factors transmembrane helices

ProPred1Tool Content

http://www.imtech.res.in/raghava/propred1 [open in a new window]

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Protein > Domains and Motifs

The ProPred-I is an on-line service for identifying the MHC Class-I binding regions in antigens. It implements matrices for 47 MHC Class-I alleles, proteasomal and immunoproteasomal models. The main aim of this server is to help users in identifying the promiscuous regions.

This content is being maintained by raghavagps.

links directory index: 106
TitlePublication YearGoogle Scholar Citation Count
ProPred1: prediction of promiscuous MHC Class-I binding sites2003106
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tagsalleles antigen presentation antigens binding peptides binding sites cysteine endopeptidases histocompatibility antigens class i immunoproteasome cleavage site macromolecular substances major histocompatibility complex MHC I multienzyme complexes oligopeptides peptides prediction proteasome cleavage site proteasome endopeptidase complex protein binding protein databases protein sequence analysis

SARpredTool Content

http://www.imtech.res.in/raghava/sarpred/ [open in a new window]

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Protein > 2-D Structure Prediction
Sequence Comparison > Multiple Sequence Alignments

SARpred, a neural network based method predicts the real value of surface acessibility by using multiple sequence alignment.

This content is being maintained by raghavagps.

links directory index: 50
TitlePublication YearGoogle Scholar Citation Count
Real value prediction of solvent accessibility in proteins using multiple sequence alignment and secondary structure200550
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tagsamino acids neural networks neural networks (computer) prediction protein sequence analysis proteins reproducibility of results secondary protein structure sequence alignment sequence-to-structure network solvent accessibility solvents structure-to-structure network surface accessibility thioredoxins

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