CaFE: a tool for binding affinity prediction using end-point free energy methods
Author(s) -
Hui Liu,
Tingjun Hou
Publication year - 2016
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/btw215
Subject(s) - computer science , pipeline (software) , plug in , source code , documentation , codebase , license , point (geometry) , mit license , code (set theory) , field (mathematics) , energy (signal processing) , computational science , force field (fiction) , algorithm , data mining , artificial intelligence , programming language , set (abstract data type) , operating system , physics , geometry , mathematics , pure mathematics , quantum mechanics
Accurate prediction of binding free energy is of particular importance to computational biology and structure-based drug design. Among those methods for binding affinity predictions, the end-point approaches, such as MM/PBSA and LIE, have been widely used because they can achieve a good balance between prediction accuracy and computational cost. Here we present an easy-to-use pipeline tool named Calculation of Free Energy (CaFE) to conduct MM/PBSA and LIE calculations. Powered by the VMD and NAMD programs, CaFE is able to handle numerous static coordinate and molecular dynamics trajectory file formats generated by different molecular simulation packages and supports various force field parameters.
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