Improvement of side-chain modeling in proteins with the self-consistent mean field theory method based on an analysis of the factors influencing prediction.

Improvement of side-chain modeling in proteins with the self-consistent mean field theory method based on an analysis of the factors influencing prediction.

Item
http://www.wikidata.org/entity/Q30322757
Advances in Homology Protein Structure ModelingA graph-theory algorithm for rapid protein side-chain predictionIncorporating knowledge-based biases into an energy-based side-chain modeling method: application to comparative modeling of protein structure.SIDEpro: a novel machine learning approach for the fast and accurate prediction of side-chain conformations.Adapting Poisson-Boltzmann to the self-consistent mean field theory: application to protein side-chain modeling.De novo design and experimental characterization of ultrashort self-associating peptidesFlat-Bottom Strategy for Improved Accuracy in Protein Side-Chain Placements.GEM: a Gaussian Evolutionary Method for predicting protein side-chain conformationsPrinciples of flexible protein-protein dockingAmino acid signature enables proteins to recognize modified tRNA.MFPred: Rapid and accurate prediction of protein-peptide recognition multispecificity using self-consistent mean field theory.Modeling mutations in protein structures.Functional domains of the Bacillus subtilis transcription factor AraR and identification of amino acids important for nucleoprotein complex assembly and effector binding.7 Computational protein design and discovery
P2860

Improvement of side-chain modeling in proteins with the self-consistent mean field theory method based on an analysis of the factors influencing prediction.

Item
http://www.wikidata.org/entity/Q30322757
description
1999 nî lūn-bûn
@nan
1999 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
1999 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
1999年の論文
@ja
1999年論文
@yue
1999年論文
@zh-hant
1999年論文
@zh-hk
1999年論文
@zh-mo
1999年論文
@zh-tw
1999年论文
@wuu
name
Improvement of side-chain mode ...... actors influencing prediction.
@ast
Improvement of side-chain mode ...... actors influencing prediction.
@en
type
label
Improvement of side-chain mode ...... actors influencing prediction.
@ast
Improvement of side-chain mode ...... actors influencing prediction.
@en
prefLabel
Improvement of side-chain mode ...... actors influencing prediction.
@ast
Improvement of side-chain mode ...... actors influencing prediction.
@en
P1433
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P2093
P2860
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P1433
P1476
Improvement of side-chain mode ...... actors influencing prediction.
@en
P2093
P2860
P304
P31
P356
10.1002/(SICI)1097-0282(199908)50:2<111::AID-BIP1>3.0.CO;2-N
P433
P478
P577
P698