Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.
about
Advances in Homology Protein Structure ModelingTemplate-based protein structure modelingModeling large regions in proteins: applications to loops, termini, and foldingA smoothed backbone-dependent rotamer library for proteins derived from adaptive kernel density estimates and regressionsWeb-based toolkits for topology prediction of transmembrane helical proteins, fold recognition, structure and binding scoring, folding-kinetics analysis and comparative analysis of domain combinationsHow special is the biochemical function of native proteins?Development of QSAR-Improved Statistical Potential for the Structure-Based Analysis of ProteinPeptide Binding Affinities.A knowledge-based scoring function based on residue triplets for protein structure predictionPrinceton_TIGRESS: protein geometry refinement using simulations and support vector machines.Saturating representation of loop conformational fragments in structure databanksModBase, a database of annotated comparative protein structure models and associated resources.LEAP: highly accurate prediction of protein loop conformations by integrating coarse-grained sampling and optimized energy scores with all-atom refinement of backbone and side chainsFF12MC: A revised AMBER forcefield and new protein simulation protocol.Fast geometric consensus approach for protein model quality assessmentAntibody H3 Structure Prediction.Trends in template/fragment-free protein structure predictionGOAP: a generalized orientation-dependent, all-atom statistical potential for protein structure prediction.LoopWeaver: loop modeling by the weighted scaling of verified proteins.Protein Structure Refinement through Structure Selection and Averaging from Molecular Dynamics Ensembles.QA-RecombineIt: a server for quality assessment and recombination of protein modelsA supersecondary structure library and search algorithm for modeling loops in protein structures.Computational modeling of protein mutant stability: analysis and optimization of statistical potentials and structural features reveal insights into prediction model development.Protein model quality assessment prediction by combining fragment comparisons and a consensus C(alpha) contact potentialAlternating evolutionary pressure in a genetic algorithm facilitates protein model selection.Integrative structure modeling of macromolecular assemblies from proteomics dataImproving predicted protein loop structure ranking using a Pareto-optimality consensus method.Distance-dependent statistical potentials for discriminating thermophilic and mesophilic proteinsProtein loop modeling by using fragment assembly and analytical loop closure.Receptor residence time trumps drug-likeness and oral bioavailability in determining efficacy of complement C5a antagonists.The FALC-Loop web server for protein loop modeling.Fast protein loop sampling and structure prediction using distance-guided sequential chain-growth Monte Carlo method.Significant enhancement of docking sensitivity using implicit ligand sampling.Sampling multiple scoring functions can improve protein loop structure prediction accuracy.Predicting flexible loop regions that interact with ligands: the challenge of accurate scoringRefinement by shifting secondary structure elements improves sequence alignments.Optimization of the GB/SA solvation model for predicting the structure of surface loops in proteins.Interaction of human brain acetylcholinesterase with cyclophosphamide: a molecular modeling and docking studyInnovative computer-aided methods for the discovery of new kinase ligands.Minimalist explicit solvation models for surface loops in proteins.Loop modeling: Sampling, filtering, and scoring.
P2860
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P2860
Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.
description
2004 nî lūn-bûn
@nan
2004 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2004 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2004年の論文
@ja
2004年論文
@yue
2004年論文
@zh-hant
2004年論文
@zh-hk
2004年論文
@zh-mo
2004年論文
@zh-tw
2004年论文
@wuu
name
Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.
@ast
Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.
@en
type
label
Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.
@ast
Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.
@en
prefLabel
Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.
@ast
Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential.
@en
P2860
P356
P1433
P1476
Accurate and efficient loop selections by the DFIRE-based all-atom statistical potential
@en
P2093
P2860
P304
P356
10.1110/PS.03411904
P577
2004-02-01T00:00:00Z