Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
about
Conformational sampling and structure prediction of multiple interacting loops in soluble and β-barrel membrane proteins using multi-loop distance-guided chain-growth Monte Carlo methodA firefly-inspired method for protein structure prediction in lattice models.Rapid sampling of all-atom peptides using a library-based polymer-growth approach.Fast de novo discovery of low-energy protein loop conformations.Methods for Monte Carlo simulations of biomacromoleculesThermodynamics of RNA structures by Wang-Landau sampling.Constrained proper sampling of conformations of transition state ensemble of protein folding.Fast protein loop sampling and structure prediction using distance-guided sequential chain-growth Monte Carlo method.Structure Prediction of RNA Loops with a Probabilistic ApproachGenerating properly weighted ensemble of conformations of proteins from sparse or indirect distance constraints.Generic folding and transition hierarchies for surface adsorption of hydrophobic-polar lattice model proteins.Finding multiple minimum-energy conformations of the hydrophobic-polar protein model via multidomain sampling.Distance-Guided Forward and Backward Chain-Growth Monte Carlo Method for Conformational Sampling and Structural Prediction of Antibody CDR-H3 Loops.Characterizing folding funnels with replica exchange Wang-Landau simulation of lattice proteins.Optimized Wang-Landau sampling of lattice polymers: ground state search and folding thermodynamics of HP model proteins.Protein-folding simulations of the hydrophobic-hydrophilic model by combining pull moves with energy landscape paving.Improving the Wang-Landau algorithm for polymers and proteins.A local landscape mapping method for protein structure prediction in the HP model
P2860
Q28547096-EB9C9EBA-3B08-4442-A69E-19156C7E2A77Q30364027-9797E839-AEEA-4720-84B2-82B51347E9EEQ30392878-F75A43A0-92F6-4835-B68C-FFE99EB37B90Q30400754-E470B410-43D2-45E5-8C50-9F4B0FDAC3B4Q33813152-3CD304F8-8FFF-4152-8195-6C45A887034FQ33896328-38AA614F-74F1-44E6-9D0E-11F842140D1FQ34764716-94FD840F-BA9A-4470-B6A2-D4CCECB744B2Q35156988-ADAD8544-65BB-415B-954F-E7170767AD37Q36096150-AAF0C267-1ACA-42B5-93AE-994E07997BC6Q40022977-688CBF73-7B84-484A-8C46-A1DC93B6FD2BQ46133565-EE6B0ED0-827E-4AD7-8BA9-1D3AA4178C89Q46742434-54D7BE54-E621-4CCE-93DB-8393571368E7Q48051459-1742EEF7-AD80-4A70-BC63-CC53F8DFE6A7Q51266867-74617C1C-F7D3-4D53-8927-61434BE94895Q51332552-459B1463-F9BD-4E62-9D68-CB28ECC37B59Q51503507-71FFA8A6-7932-47C6-A3A0-8EB32C101491Q51648352-DE9C4148-E407-4643-B0DE-8B916D94A147Q57518327-0B4D94D7-A5A0-4193-A45B-7262C253090A
P2860
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
description
2007 nî lūn-bûn
@nan
2007 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի հունիսին հրատարակված գիտական հոդված
@hy
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
name
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@ast
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@en
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@nl
type
label
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@ast
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@en
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@nl
prefLabel
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@ast
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@en
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@nl
P2093
P2860
P3181
P356
P1476
Biopolymer structure simulation and optimization via fragment regrowth Monte Carlo
@en
P2093
P2860
P304
P3181
P356
10.1063/1.2736681
P407
P577
2007-06-14T00:00:00Z