BindFlow: a free, user-friendly pipeline for absolute binding free energy calculations using free energy perturbation or MM(PB/GB)SA

Abstract

We present BindFlow, a Python-based software for automated absolute binding free energy (ABFE) calculations at the free energy perturbation (FEP) or at the molecular mechanics Poisson-Boltzmann/generalized Born surface area [MM(PB/GB)SA] level of theory. BindFlow is free, open-source, user-friendly, easily customizable, runs on workstations or distributed computing platforms, and provides extensive documentation and tutorials. BindFlow uses GROMACS as molecular dynamics engine and provides built-in support for the small-molecule force fields GAFF, OpenFF, and Espaloma. We test BindFlow by computing affinities for 139 ligand/target pairs, involving eight different targets including six soluble proteins, one membrane protein and one non-protein host–guest system. Quantified by Pearson, Kendall, and Spearman correlations coefficients, we find that the agreement of BindFlow predictions with experiments are overall similar to gold standards in the field. Interestingly, we find that MM(PB/GB)SA achieves correlations that, for some systems and force fields, approach those obtained with FEP, while requiring only a fraction of the computational cost. This study establishes BindFlow as a validated and accessible tool for ABFE calculations.

Alejandro Martínez León

PhD-Student in Biophysics

My research interests include molecular dynamic simulations, coding and theoretical biophysics.