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Coarse-grained versus atomistic simulations: realistic interaction free energies for real proteins
Author(s) -
Ali May,
René Pool,
Erik van Dijk,
Jochem Bijlard,
Sanne Abeln,
Jaap Heringa,
K. Anton Feenstra
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/btt675
Subject(s) - molecular dynamics , python (programming language) , computer science , force field (fiction) , statistical physics , energy landscape , computational science , physics , chemistry , computational chemistry , artificial intelligence , thermodynamics , operating system
To assess whether two proteins will interact under physiological conditions, information on the interaction free energy is needed. Statistical learning techniques and docking methods for predicting protein-protein interactions cannot quantitatively estimate binding free energies. Full atomistic molecular simulation methods do have this potential, but are completely unfeasible for large-scale applications in terms of computational cost required. Here we investigate whether applying coarse-grained (CG) molecular dynamics simulations is a viable alternative for complexes of known structure.

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