General library-based monte carlo technique enables equilibrium sampling of semi-atomistic protein models

Journal of Physical Chemistry B

Volumn 113, Issue 31, 2009, Pages 10891-10904

  Mamonov, Artem B ^a   Bhatt, Divesh ^a   Cashman, Derek J ^a   Ding, Ying ^a   Zuckerman, Daniel M ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMINES; ATOMS; EMBEDDED SYSTEMS; LIBRARIES; MONTE CARLO METHODS; PROTEINS; RESPONSE TIME (COMPUTER SYSTEMS);

ARBITRARY SUBSETS; BOLTZMANN; COARSE GRAINED MODELS; MOLECULAR SYSTEMS; MONTE CARLO; MONTE CARLO TECHNIQUES; PLANE CONFIGURATIONS; POLYALANINE; PROOF OF PRINCIPLES; PROTEIN MODELS; RUNTIMES; SINGLE PROCESSORS; TOY MODELS;

SAMPLING;

PEPTIDE; POLYALANINE; PROTEIN;

ARTICLE; CHEMICAL STRUCTURE; CHEMISTRY; COMPUTER SIMULATION; MONTE CARLO METHOD; PROTEIN CONFORMATION; THERMODYNAMICS;

COMPUTER SIMULATION; MODELS, MOLECULAR; MONTE CARLO METHOD; PEPTIDES; PROTEIN CONFORMATION; PROTEINS; THERMODYNAMICS;

EID: 68149131990     PISSN: 15206106     EISSN: None     Source Type: Journal    
DOI: 10.1021/jp901322v     Document Type: Article

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