A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment.
about
Identification of NAD interacting residues in proteinsPrediction of FAD interacting residues in a protein from its primary sequence using evolutionary informationIdentification of ATP binding residues of a protein from its primary sequenceBhairPred: prediction of beta-hairpins in a protein from multiple alignment information using ANN and SVM techniques.Identification of DNA-binding proteins using support vector machines and evolutionary profilesA role for human endogenous retrovirus-K (HML-2) in rheumatoid arthritis: investigating mechanisms of pathogenesisUsing predicted shape string to enhance the accuracy of γ-turn prediction.Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM.Predicting turns in proteins with a unified model.Protein fold recognition using geometric kernel data fusion.Identification of proteins secreted by malaria parasite into erythrocyte using SVM and PSSM profiles.Features analysis for identification of date and party hubs in protein interaction network of Saccharomyces Cerevisiae.Analysis and prediction of cancerlectins using evolutionary and domain information.SVM based prediction of RNA-binding proteins using binding residues and evolutionary information.Support vector machines for prediction and analysis of beta and gamma-turns in proteins.Identification of a novel effector domain of BIN1 for cancer suppression.Evaluation of protein dihedral angle prediction methods.Multifactorial level of extremostability of proteins: can they be exploited for protein engineering?Three Dimensional Structure Prediction of Fatty Acid Binding Site on Human Transmembrane Receptor CD36Using support vector machine to predict beta- and gamma-turns in proteins.Role of evolutionary information in prediction of aromatic-backbone NH interactions in proteins.BTEVAL: a server for evaluation of beta-turn prediction methods.In silico platform for predicting and initiating β-turns in a protein at desired locations.
P2860
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P2860
A neural-network based method for prediction of gamma-turns in proteins from multiple sequence alignment.
description
2003 nî lūn-bûn
@nan
2003 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
A neural-network based method ...... m multiple sequence alignment.
@ast
A neural-network based method ...... m multiple sequence alignment.
@en
type
label
A neural-network based method ...... m multiple sequence alignment.
@ast
A neural-network based method ...... m multiple sequence alignment.
@en
prefLabel
A neural-network based method ...... m multiple sequence alignment.
@ast
A neural-network based method ...... m multiple sequence alignment.
@en
P2860
P356
P1433
P1476
A neural-network based method ...... om multiple sequence alignment
@en
P2093
Harpreet Kaur
P2860
P304
P356
10.1110/PS.0241703
P577
2003-05-01T00:00:00Z