Self-consistently optimized energy functions for protein structure prediction by molecular dynamics.
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Associative memory hamiltonians for structure prediction without homology: alpha-helical proteins.Folding funnels: the key to robust protein structure prediction.Water in protein structure predictionIterative Molecular Dynamics-Rosetta Protein Structure Refinement Protocol to Improve Model Quality.Learning To Fold Proteins Using Energy Landscape Theory.Evolution, energy landscapes and the paradoxes of protein folding.Improved cryoEM-Guided Iterative Molecular Dynamics--Rosetta Protein Structure Refinement Protocol for High Precision Protein Structure Prediction.Protein structure prediction: do hydrogen bonding and water-mediated interactions suffice?Statistical mechanics-based method to extract atomic distance-dependent potentials from protein structures.How to guarantee optimal stability for most representative structures in the Protein Data Bank.Go-ing for the prediction of protein folding mechanismsFunnel sculpting for in silico assembly of secondary structure elements of proteinsA method for parameter optimization in computational biology.Associative memory Hamiltonians for structure prediction without homology: alpha/beta proteinsThree-helix-bundle protein in a Ramachandran model.A statistical mechanical method to optimize energy functions for protein folding.Specificity quantification of biomolecular recognition and its implication for drug discovery.Scoring functions in protein folding and designComputational techniques for efficient conformational sampling of proteinsMolecular dynamics with the united-residue model of polypeptide chains. I. Lagrange equations of motion and tests of numerical stability in the microcanonical mode.Direct observation of an ensemble of stable collapsed states in the mechanical folding of ubiquitin.Hydrogen bonds, hydrophobicity forces and the character of the collapse transitionPAGE4 and Conformational Switching: Insights from Molecular Dynamics Simulations and Implications for Prostate Cancer.Statistical mechanical refinement of protein structure prediction schemes. II. Mayer cluster expansion approachStatistical mechanical refinement of protein structure prediction schemes: Cumulant expansion approach
P2860
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P2860
Self-consistently optimized energy functions for protein structure prediction by molecular dynamics.
description
1998 nî lūn-bûn
@nan
1998 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
1998 թվականի մարտին հրատարակված գիտական հոդված
@hy
1998年の論文
@ja
1998年論文
@yue
1998年論文
@zh-hant
1998年論文
@zh-hk
1998年論文
@zh-mo
1998年論文
@zh-tw
1998年论文
@wuu
name
Self-consistently optimized en ...... diction by molecular dynamics.
@ast
Self-consistently optimized en ...... diction by molecular dynamics.
@en
type
label
Self-consistently optimized en ...... diction by molecular dynamics.
@ast
Self-consistently optimized en ...... diction by molecular dynamics.
@en
prefLabel
Self-consistently optimized en ...... diction by molecular dynamics.
@ast
Self-consistently optimized en ...... diction by molecular dynamics.
@en
P2860
P921
P356
P1476
Self-consistently optimized en ...... diction by molecular dynamics.
@en
P2093
K K Koretke
P G Wolynes
P2860
P304
P356
10.1073/PNAS.95.6.2932
P407
P577
1998-03-01T00:00:00Z