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Alchemical free energy simulations without speed limits. A generic framework to calculate free energy differences independent of the underlying molecular dynamics program.
Wieder, Marcus; Fleck, Markus; Braunsfeld, Benedict; Boresch, Stefan.
Affiliation
  • Wieder M; Department of Pharmaceutical Sciences, Faculty of Life Sciences, University of Vienna, Vienna, Austria.
  • Fleck M; Department of Computational Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
  • Braunsfeld B; Department of Computational Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
  • Boresch S; Department of Computational Biological Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.
J Comput Chem ; 43(17): 1151-1160, 2022 06 30.
Article in En | MEDLINE | ID: mdl-35485139
ABSTRACT
We describe the theory of the so-called common-core/serial-atom-insertion (CC/SAI) approach to compute alchemical free energy differences and its practical implementation in a Python package called Transformato. CC/SAI is not tied to a specific biomolecular simulation program and does not rely on special purpose code for alchemical transformations. To calculate the alchemical free energy difference between several small molecules, the physical end-states are mutated into a suitable common core. Since this only requires turning off interactions, the setup of intermediate states is straightforward to automate. Transformato currently supports CHARMM and OpenMM as back ends to carry out the necessary molecular dynamics simulations, as well as post-processing calculations. We validate the method by computing a series of relative solvation free energy differences.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Molecular Dynamics Simulation Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2022 Document type: Article Affiliation country: Austria

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Molecular Dynamics Simulation Language: En Journal: J Comput Chem Journal subject: QUIMICA Year: 2022 Document type: Article Affiliation country: Austria