Potentials of mean force for protein structure prediction vindicated, formalized and generalized
about
Protein structure validation and refinement using amide proton chemical shifts derived from quantum mechanicsScientific benchmarks for guiding macromolecular energy function improvementFormulation of probabilistic models of protein structure in atomic detail using the reference ratio method.Protein structure quality assessment based on the distance profiles of consecutive backbone Cα atoms.The electrostatic profile of consecutive Cβ atoms applied to protein structure quality assessment.Protein-protein structure prediction by scoring molecular dynamics trajectories of putative poses.A Generative Angular Model of Protein Structure Evolution.Extracting knowledge from protein structure geometryA simple probabilistic model of multibody interactions in proteins.PHAISTOS: a framework for Markov chain Monte Carlo simulation and inference of protein structure.Predicting RNA 3D structure using a coarse-grain helix-centered modelInference of structure ensembles of flexible biomolecules from sparse, averaged dataBayesian inference of protein ensembles from SAXS data.BCL::Score--knowledge based energy potentials for ranking protein models represented by idealized secondary structure elements.ROTAS: a rotamer-dependent, atomic statistical potential for assessment and prediction of protein structuresEstablishing knowledge on the sequence arrangement pattern of nucleated protein folding.Efficient Parameter Estimation of Generalizable Coarse-Grained Protein Force Fields Using Contrastive Divergence: A Maximum Likelihood Approach.SARAH Domain-Mediated MST2-RASSF Dimeric Interactions.Finding the needle in the haystack: towards solving the protein-folding problem computationally.Bayesian inference of conformational state populations from computational models and sparse experimental observables.Towards an accurate prediction of the thermal stability of homologous proteins.Modeling transcriptional activation changes to Gal4 variants via structure-based computational mutagenesis.Proteins, physics and probability kinematics: a Bayesian formulation of the protein folding problemSimplification of complexity in protein molecular systems by grouping amino acids: a view from physics
P2860
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P2860
Potentials of mean force for protein structure prediction vindicated, formalized and generalized
description
2010 nî lūn-bûn
@nan
2010 թուականին հրատարակուած գիտական յօդուած
@hyw
2010 թվականին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Potentials of mean force for p ...... ed, formalized and generalized
@ast
Potentials of mean force for p ...... ed, formalized and generalized
@en
Potentials of mean force for p ...... ed, formalized and generalized
@en-gb
Potentials of mean force for p ...... ed, formalized and generalized
@nl
type
label
Potentials of mean force for p ...... ed, formalized and generalized
@ast
Potentials of mean force for p ...... ed, formalized and generalized
@en
Potentials of mean force for p ...... ed, formalized and generalized
@en-gb
Potentials of mean force for p ...... ed, formalized and generalized
@nl
altLabel
Potentials of Mean Force for P ...... ed, Formalized and Generalized
@en
prefLabel
Potentials of mean force for p ...... ed, formalized and generalized
@ast
Potentials of mean force for p ...... ed, formalized and generalized
@en
Potentials of mean force for p ...... ed, formalized and generalized
@en-gb
Potentials of mean force for p ...... ed, formalized and generalized
@nl
P2093
P2860
P50
P3181
P1433
P1476
Potentials of mean force for p ...... ed, formalized and generalized
@en
P2093
Christian Andreetta
Jesper Ferkinghoff-Borg
Jonas Paulsen
Martin Paluszewski
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0013714
P407
P577
2010-01-01T00:00:00Z