Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/179168
Title: DFFR: A New Method for High-Throughput Recalibration of Automatic Force-Fields for Drugs
Author: Moreno, David
Zivanovic, Sanja
Colizzi, Francesco
Hospital Gasch, Adam
Aranda, Juan
Soliva, Robert
Orozco López, Modesto
Keywords: Disseny de medicaments
Dinàmica molecular
Molecular dynamics
Drug design
Issue Date: 28-Aug-2020
Publisher: American Chemical Society
Abstract: We present drug force-field recalibration (DFFR), a new method for refining of automatic force-fields used to represent small drugs in docking and molecular dynamics simulations. The method is based on fine-tuning of torsional terms to obtain ensembles that reproduce observables derived from reference data. DFFR is fast and flexible and can be easily automatized for a high-throughput regime, making it useful in drug-design projects. We tested the performance of the method in a few model systems and also in a variety of druglike molecules using reference data derived from: (i) density functional theory coupled to a self-consistent reaction field (DFT/SCRF) calculations on highly populated conformers and (ii) enhanced sampling quantum mechanical/molecular mechanics (QM/MM) where the drug is reproduced at the QM level, while the solvent is represented by classical force-fields. Extension of the method to include other sources of reference data is discussed.
Note: Versió postprint del document publicat a: https://doi.org/10.1021/acs.jctc.0c00306
It is part of: Journal Of Chemical Theory And Computation, 2020, 16, 10, 6598-6608
URI: http://hdl.handle.net/2445/179168
Related resource: https://doi.org/10.1021/acs.jctc.0c00306
ISSN: 1549-9626
Appears in Collections:Articles publicats en revistes (Bioquímica i Biomedicina Molecular)
Articles publicats en revistes (Institut de Recerca Biomèdica (IRB Barcelona))

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