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eSBMTools 1.0: enhanced native structure-based modeling tools
Author(s) -
Benjamin Lutz,
Claude Sinner,
Geertje Heuermann,
Abhinav Verma,
Alexander Schug
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt478
Subject(s) - computer science , workflow , computational science , molecular dynamics , structural bioinformatics , software , flexibility (engineering) , conformational ensembles , folding (dsp implementation) , histogram , theoretical computer science , protein structure , algorithm , programming language , physics , chemistry , mathematics , computational chemistry , database , artificial intelligence , statistics , engineering , electrical engineering , image (mathematics) , nuclear magnetic resonance
Molecular dynamics simulations provide detailed insights into the structure and function of biomolecular systems. Thus, they complement experimental measurements by giving access to experimentally inaccessible regimes. Among the different molecular dynamics techniques, native structure-based models (SBMs) are based on energy landscape theory and the principle of minimal frustration. Typically used in protein and RNA folding simulations, they coarse-grain the biomolecular system and/or simplify the Hamiltonian resulting in modest computational requirements while achieving high agreement with experimental data. eSBMTools streamlines running and evaluating SBM in a comprehensive package and offers high flexibility in adding experimental- or bioinformatics-derived restraints.

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