Assessing Metadynamics and Docking for Absolute Binding Free Energy Calculations Using Severe Acute Respiratory Syndrome Coronavirus 2 Main Protease Inhibitors.
Anastasia SaarMohammad M GhahremanpourJulian Tirado-RivesWilliam L JorgensenPublished in: Journal of chemical information and modeling (2023)
Absolute binding free energy (ABFE) calculations can be an important part of the drug discovery process by identifying molecules that have the potential to be strong binders for a biomolecular target. Recent work has used free energy perturbation (FEP) theory for these calculations, focusing on a set of 16 inhibitors of the severe acute respiratory syndrome coronavirus 2 main protease (M pro ). Herein, the same data set is evaluated by metadynamics (MetaD), four different docking programs, and molecular mechanics with generalized Born and surface area solvation. MetaD yields a Kendall τ distance of 0.28 and Pearson r 2 of 0.49, which reflect somewhat less accuracy than that from the ABFE FEP results. Notably, it is demonstrated that an ensemble docking protocol by which each ligand is docked into the 13 crystal structures in this data set provides improved performance, particularly when docking is carried out with Glide XP (Kendall τ distance = 0.20, Pearson r 2 = 0.71), Glide SP (Kendall τ distance = 0.19, Pearson r 2 = 0.66), or AutoDock 4 (Kendall τ distance = 0.21, Pearson r 2 = 0.55). The best results are obtained with "superconsensus" docking by averaging the 52 results for each compound using the 4 docking protocols and all 13 crystal structures (Kendall τ distance = 0.18, Pearson r 2 = 0.73).
Keyphrases
- molecular dynamics
- molecular dynamics simulations
- respiratory syndrome coronavirus
- density functional theory
- sars cov
- protein protein
- drug discovery
- coronavirus disease
- electronic health record
- randomized controlled trial
- big data
- machine learning
- binding protein
- artificial intelligence
- gestational age
- transcription factor