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Teaching computers to fold proteinsHow are model protein structures distributed in sequence space?Toward an outline of the topography of a realistic protein-folding funnelAdaptive evolution of transcription factor binding sitesThe interface of protein structure, protein biophysics, and molecular evolutionThe energy landscape, folding pathways and the kinetics of a knotted proteinDiscrete kinetic models from funneled energy landscape simulationsThe universal statistical distributions of the affinity, equilibrium constants, kinetics and specificity in biomolecular recognitionThe effects of nonnative interactions on protein folding rates: theory and simulationStatistical significance of protein structure prediction by threading.How to generate improved potentials for protein tertiary structure prediction: a lattice model study.Associative memory hamiltonians for structure prediction without homology: alpha-helical proteins.Folding funnels: the key to robust protein structure prediction.Optimizing scoring function of protein-nucleic acid interactions with both affinity and specificity.Learning To Fold Proteins Using Energy Landscape Theory.Protein structure prediction using basin-hopping.Evolution, energy landscapes and the paradoxes of protein folding.MQAPsingle: A quasi single-model approach for estimation of the quality of individual protein structure models.Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys.Electrostatics, structure prediction, and the energy landscapes for protein folding and binding.Restriction versus guidance in protein structure prediction.Rapid model quality assessment for protein structure predictions using the comparison of multiple models without structural alignments.Protein Folding and Structure Prediction from the Ground Up: The Atomistic Associative Memory, Water Mediated, Structure and Energy Model.Protein Folding and Structure Prediction from the Ground Up II: AAWSEM for α/β Proteins.AWSEM-MD: protein structure prediction using coarse-grained physical potentials and bioinformatically based local structure biasing.Principles of protein folding--a perspective from simple exact models.Conformation, energy, and folding ability of selected amino acid sequencesSelf-consistently optimized energy functions for protein structure prediction by molecular dynamics.How evolution makes proteins fold quicklyInfluence of protein structure databases on the predictive power of statistical pair potentials.QA-RecombineIt: a server for quality assessment and recombination of protein modelsOptimal neural networks for protein-structure prediction.The network of stabilizing contacts in proteins studied by coevolutionary data.A protein evolution model with independent sites that reproduces site-specific amino acid distributions from the Protein Data Bank.How to guarantee optimal stability for most representative structures in the Protein Data Bank.Statistical theory for protein ensembles with designed energy landscapes.Positive and negative design in stability and thermal adaptation of natural proteinsTowards understanding the mechanisms of molecular recognition by computer simulations of ligand-protein interactions.SPA-LN: a scoring function of ligand-nucleic acid interactions via optimizing both specificity and affinity.Lattice model for rapidly folding protein-like heteropolymers
P2860
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P2860
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on June 1992
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Optimal protein-folding codes from spin-glass theory.
@en
Optimal protein-folding codes from spin-glass theory.
@nl
type
label
Optimal protein-folding codes from spin-glass theory.
@en
Optimal protein-folding codes from spin-glass theory.
@nl
prefLabel
Optimal protein-folding codes from spin-glass theory.
@en
Optimal protein-folding codes from spin-glass theory.
@nl
P2093
P2860
P356
P1476
Optimal protein-folding codes from spin-glass theory.
@en
P2093
P G Wolynes
R A Goldstein
Z A Luthey-Schulten
P2860
P304
P356
10.1073/PNAS.89.11.4918
P407
P577
1992-06-01T00:00:00Z