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Validation of the Alchemical Transfer Method for the Estimation of Relative Binding Affinities of Molecular Series.
Sabanés Zariquiey, Francesc; Pérez, Adrià; Majewski, Maciej; Gallicchio, Emilio; De Fabritiis, Gianni.
Afiliação
  • Sabanés Zariquiey F; Computational Science Laboratory, Universitat Pompeu Fabra, Barcelona Biomedical Research Park (PRBB), C Dr. Aiguader 88, 08003 Barcelona, Spain.
  • Pérez A; Acellera Labs, C Dr Trueta 183, 08005 Barcelona, Spain.
  • Majewski M; Acellera Labs, C Dr Trueta 183, 08005 Barcelona, Spain.
  • Gallicchio E; Department of Chemistry, Brooklyn College of the City University of New York, New York, New York 11210, United States.
  • De Fabritiis G; PhD Program in Chemistry Graduate Center of the City University of New York, New York, New York 10016, United States.
J Chem Inf Model ; 63(8): 2438-2444, 2023 04 24.
Article em En | MEDLINE | ID: mdl-37042797
ABSTRACT
The accurate prediction of protein-ligand binding affinities is crucial for drug discovery. Alchemical free energy calculations have become a popular tool for this purpose. However, the accuracy and reliability of these methods can vary depending on the methodology. In this study, we evaluate the performance of a relative binding free energy protocol based on the alchemical transfer method (ATM), a novel approach based on a coordinate transformation that swaps the positions of two ligands. The results show that ATM matches the performance of more complex free energy perturbation (FEP) methods in terms of Pearson correlation but with marginally higher mean absolute errors. This study shows that the ATM method is competitive compared to more traditional methods in speed and accuracy and offers the advantage of being applicable with any potential energy function.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação de Dinâmica Molecular Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Simulação de Dinâmica Molecular Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2023 Tipo de documento: Article