Literature DB >> 32818371

Evolution of Alchemical Free Energy Methods in Drug Discovery.

Lin Frank Song1, Kenneth M Merz1.   

Abstract

The goal of the present manuscript is to succinctly trace the key technological steps in the evolution of alchemical free energy methods (AFEMs) from a purely theoretical construct to a method that is now widely used in the biotechnological and pharmaceutical industries. More specifically, we focus on relative binding free energy (RBFE) computations which are more routinely applied in computer aided drug design (CADD) campaigns rather than the more computationally intensive absolute binding free energy (ABFE) computations. We have not been exhaustive in the development of our timeline but rather try to weave a story about how theoretical ideas were ultimately converted into contemporary free energy capabilities. Necessarily this story-telling approach limits us from citing all work on AFEMs, and we apologize for this shortcoming. However, for those interested in a broad delineation of all the work done in this area they are directed to the many excellent reviews that are extant.

Year:  2020        PMID: 32818371     DOI: 10.1021/acs.jcim.0c00547

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  12 in total

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Authors:  Si Zhang; David F Hahn; Michael R Shirts; Vincent A Voelz
Journal:  J Chem Theory Comput       Date:  2021-09-13       Impact factor: 6.578

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4.  Alchemical Free Energy Calculations to Investigate Protein-Protein Interactions: the Case of the CDC42/PAK1 Complex.

Authors:  Maria Antonietta La Serra; Pietro Vidossich; Isabella Acquistapace; Anand K Ganesan; Marco De Vivo
Journal:  J Chem Inf Model       Date:  2022-06-09       Impact factor: 6.162

5.  Alchemical Free Energy Methods Applied to Complexes of the First Bromodomain of BRD4.

Authors:  Ellen E Guest; Luis F Cervantes; Stephen D Pickett; Charles L Brooks; Jonathan D Hirst
Journal:  J Chem Inf Model       Date:  2022-03-08       Impact factor: 6.162

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7.  Best practices for repurposing studies.

Authors:  Richard A Lewis
Journal:  J Comput Aided Mol Des       Date:  2021-11-12       Impact factor: 3.686

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Authors:  Daria D Vaulina; Kira I Stosman; Konstantin V Sivak; Andrey G Aleksandrov; Nikolai B Viktorov; Nikolay N Kuzmich; Mariia M Kiseleva; Olga F Kuznetsova; Natalia A Gomzina
Journal:  Molecules       Date:  2021-11-01       Impact factor: 4.411

9.  New Chemicals Suppressing SARS-CoV-2 Replication in Cell Culture.

Authors:  Alexey Sulimov; Ivan Ilin; Danil Kutov; Khidmet Shikhaliev; Dmitriy Shcherbakov; Oleg Pyankov; Nadezhda Stolpovskaya; Svetlana Medvedeva; Vladimir Sulimov
Journal:  Molecules       Date:  2022-09-05       Impact factor: 4.927

10.  Generalizing the Discrete Gibbs Sampler-Based λ-Dynamics Approach for Multisite Sampling of Many Ligands.

Authors:  Jonah Z Vilseck; Xinqiang Ding; Ryan L Hayes; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2021-06-08       Impact factor: 6.006

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