Improvement in protein functional site prediction by distinguishing structural and functional constraints on protein family evolution using computational design.
about
Investigating the structural plasticity of a cytochrome P450: three-dimensional structures of P450 EryK and binding to its physiological substrate.Structure-based Methods for Computational Protein Functional Site PredictionThe Structure of YqeH: AN AtNOS1/AtNOA1 ORTHOLOG THAT COUPLES GTP HYDROLYSIS TO MOLECULAR RECOGNITIONPredicting protein ligand binding sites by combining evolutionary sequence conservation and 3D structureJoint evolutionary trees: a large-scale method to predict protein interfaces based on sequence samplingStructure-based function inference using protein family-specific fingerprints.Recent advances in functional region prediction by using structural and evolutionary information - Remaining problems and future extensionsHow accurate and statistically robust are catalytic site predictions based on closeness centrality?EasyMIFS and SiteHound: a toolkit for the identification of ligand-binding sites in protein structures.Disease risk of missense mutations using structural inference from predicted functionNovel feature for catalytic protein residues reflecting interactions with other residuesPredicting residue-residue contacts using random forest models.Incorporating background frequency improves entropy-based residue conservation measuresAnalysis and prediction of functionally important sites in proteins.Relating destabilizing regions to known functional sites in proteins.Exploiting residue-level and profile-level interface propensities for usage in binding sites prediction of proteins.Protein meta-functional signatures from combining sequence, structure, evolution, and amino acid property informationPartial order optimum likelihood (POOL): maximum likelihood prediction of protein active site residues using 3D Structure and sequence propertiesAn automatic method for assessing structural importance of amino acid positionsSitesIdentify: a protein functional site prediction tool.PoPMuSiC 2.1: a web server for the estimation of protein stability changes upon mutation and sequence optimalityA protein sequence meta-functional signature for calcium binding residue prediction.High-performance prediction of functional residues in proteins with machine learning and computed input features.Homo-dimerization and ligand binding by the leucine-rich repeat domain at RHG1/RFS2 underlying resistance to two soybean pathogens.Improving computational protein design by using structure-derived sequence profile.Structure-based identification of catalytic residues.Protein binding site prediction using an empirical scoring functionBiochemical functional predictions for protein structures of unknown or uncertain functionCombining natural sequence variation with high throughput mutational data to reveal protein interaction sites.E1DS: catalytic site prediction based on 1D signatures of concurrent conservation.Prediction of functionally important sites from protein sequences using sparse kernel least squares classifiers.Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.Computational approaches for predicting mutant protein stability.Annotating Protein Functional Residues by Coupling High-Throughput Fitness Profile and Homologous-Structure Analysis.Top-down clustering for protein subfamily identification.Cutoff lensing: predicting catalytic sites in enzymes.Accuracy of functional surfaces on comparatively modeled protein structures.Why are polar residues within the membrane core evolutionary conserved?
P2860
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P2860
Improvement in protein functional site prediction by distinguishing structural and functional constraints on protein family evolution using computational design.
description
2005 nî lūn-bûn
@nan
2005 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Improvement in protein functio ...... ion using computational design
@nl
Improvement in protein functio ...... on using computational design.
@ast
Improvement in protein functio ...... on using computational design.
@en
type
label
Improvement in protein functio ...... ion using computational design
@nl
Improvement in protein functio ...... on using computational design.
@ast
Improvement in protein functio ...... on using computational design.
@en
prefLabel
Improvement in protein functio ...... ion using computational design
@nl
Improvement in protein functio ...... on using computational design.
@ast
Improvement in protein functio ...... on using computational design.
@en
P2093
P2860
P921
P3181
P356
P1476
Improvement in protein functio ...... on using computational design.
@en
P2093
Gong Cheng
Ram Samudrala
P2860
P304
P3181
P356
10.1093/NAR/GKI894
P407
P50
P577
2005-10-13T00:00:00Z