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MEPSA: minimum energy pathway analysis for energy landscapes
Author(s) -
Íñigo MarcosAlcalde,
Javier Setoaín,
Jesús I. MendietaMoreno,
Jesús Mendieta,
Paulino GómezPuertas
Publication year - 2015
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/btv453
Subject(s) - maxima and minima , computer science , path (computing) , energy landscape , energy (signal processing) , software , license , potential energy surface , potential energy , state (computer science) , data mining , algorithm , theoretical computer science , biological system , physics , mathematics , mathematical analysis , quantum mechanics , ab initio , biology , thermodynamics , programming language , operating system
From conformational studies to atomistic descriptions of enzymatic reactions, potential and free energy landscapes can be used to describe biomolecular systems in detail. However, extracting the relevant data of complex 3D energy surfaces can sometimes be laborious. In this article, we present MEPSA (Minimum Energy Path Surface Analysis), a cross-platform user friendly tool for the analysis of energy landscapes from a transition state theory perspective. Some of its most relevant features are: identification of all the barriers and minima of the landscape at once, description of maxima edge profiles, detection of the lowest energy path connecting two minima and generation of transition state theory diagrams along these paths. In addition to a built-in plotting system, MEPSA can save most of the generated data into easily parseable text files, allowing more versatile uses of MEPSA's output such as the generation of molecular dynamics restraints from a calculated path.

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