In this paper, we compute, by means of a non equilibrium alchemical technique, called fast switching double annihilation methods (FSDAM), the absolute standard dissociation free energies of the the octa acids host-guest systems in the SAMPL6 challenge initiative. FSDAM is based on the production of canonical configurations of the bound and unbound states via enhanced sampling and on the subsequent generation of hundreds of fast non-equilibrium ligand annihilation trajectories. The annihilation free energies of the ligand when bound to the receptor and in bulk solvent are obtained from the collection of work values using an estimate based on the Crooks theorem for driven non equilibrium processes. The FSDAM blind prediction, relying on the normality assumption for the annihilation work distributions, ranked fairly well among the submitted blind predictions that were not adjusted with a linear corrections obtained from retrospective data on similar host guest systems. Improved results for FSDAM can be obtained by post-processing the work data assuming mixtures of normal components.

SAMPL6 host-guest blind predictions using a non equilibrium alchemical approach / Procacci, Piero; Guarrasi, Massimiliano; Guarnieri, Guido. - In: JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN. - ISSN 0920-654X. - STAMPA. - (2018), pp. 965-982. [10.1007/s10822-018-0151-9]

SAMPL6 host-guest blind predictions using a non equilibrium alchemical approach

Procacci, Piero
;
2018

Abstract

In this paper, we compute, by means of a non equilibrium alchemical technique, called fast switching double annihilation methods (FSDAM), the absolute standard dissociation free energies of the the octa acids host-guest systems in the SAMPL6 challenge initiative. FSDAM is based on the production of canonical configurations of the bound and unbound states via enhanced sampling and on the subsequent generation of hundreds of fast non-equilibrium ligand annihilation trajectories. The annihilation free energies of the ligand when bound to the receptor and in bulk solvent are obtained from the collection of work values using an estimate based on the Crooks theorem for driven non equilibrium processes. The FSDAM blind prediction, relying on the normality assumption for the annihilation work distributions, ranked fairly well among the submitted blind predictions that were not adjusted with a linear corrections obtained from retrospective data on similar host guest systems. Improved results for FSDAM can be obtained by post-processing the work data assuming mixtures of normal components.
2018
965
982
Procacci, Piero; Guarrasi, Massimiliano; Guarnieri, Guido
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1133869
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