Randomized tree construction algorithm to explore energy landscapes

Journal of Computational Chemistry

Volumn 32, Issue 16, 2011, Pages 3464-3474

  Jaillet, Léonard ^a   Corcho, Francesc J ^b   Pérez, Juan Jesús ^b   Cortés, Juan ^c  

^a CSIC   (Spain)

^b UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

^c LAAS CNRS   (France)

Author keywords

conformational transition paths; energy landscape exploration; Monte Carlo methods; peptides; robot path planning algorithms

Indexed keywords

ALANINE DIPEPTIDES; CONFORMATIONAL ENERGIES; CONFORMATIONAL SPACE; CONFORMATIONAL TRANSITIONS; ENERGY LANDSCAPE; ENERGY MINIMA; MONTE CARLO; PROOF OF CONCEPT; RANDOM TREE; ROBOT PATH PLANNING ALGORITHMS; ROBOT PATH-PLANNING; SEARCH TREES; SELF-TUNING MECHANISMS; STATISTICAL PHYSICS; TRANSITION PATHS; TRANSITION TESTS; TREE CONSTRUCTION ALGORITHMS; TREE EXPANSION;

ALGORITHMS; AMINO ACIDS; MONTE CARLO METHODS; MOTION PLANNING; PEPTIDES; PLANT EXTRACTS; ROBOT PROGRAMMING;

TREES (MATHEMATICS);

ALANINE; DIPEPTIDE;

ALGORITHM; ARTICLE; BIOLOGY; CHEMISTRY; MOLECULAR DYNAMICS; MONTE CARLO METHOD; PROTEIN CONFORMATION;

ALANINE; ALGORITHMS; COMPUTATIONAL BIOLOGY; DIPEPTIDES; MOLECULAR DYNAMICS SIMULATION; MONTE CARLO METHOD; PROTEIN CONFORMATION;

EID: 80054684019     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.21931     Document Type: Article

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