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A global machine learning based scoring function for protein structure prediction.Melody discrimination and protein fold classification.Splitting statistical potentials into meaningful scoring functions: testing the prediction of near-native structures from decoy conformations.Multiscale natural moves refine macromolecules using single-particle electron microscopy projection imagesGlobal view of the protein universe.Biophysics of protein evolution and evolutionary protein biophysicsEffective moment feature vectors for protein domain structuresModeling and design by hierarchical natural moves.Nonlinearities in protein space limit the utility of informatics in protein biophysics.Reducing the dimensionality of the protein-folding search problem.Current status and future challenges in T-cell receptor/peptide/MHC molecular dynamics simulations.Exploring peptide/MHC detachment processes using hierarchical natural move Monte Carlo.Modeling Functional Motions of Biological Systems by Customized Natural Moves.Conformational optimization with natural degrees of freedom: a novel stochastic chain closure algorithm.Evolutionary constraints on structural similarity in orthologs and paralogs.A coarse-grained potential for fold recognition and molecular dynamics simulations of proteins.
P2860
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P2860
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Probing protein fold space with a simplified model.
@en
Probing protein fold space with a simplified model.
@nl
type
label
Probing protein fold space with a simplified model.
@en
Probing protein fold space with a simplified model.
@nl
prefLabel
Probing protein fold space with a simplified model.
@en
Probing protein fold space with a simplified model.
@nl
P2860
P1476
Probing protein fold space with a simplified model.
@en
P2093
Peter Minary
P2860
P304
P356
10.1016/J.JMB.2007.10.087
P407
P577
2007-11-09T00:00:00Z