Pose Rescorer v1.1

Physics-based post-docking rescoring using MM/GBSA

Overview

Rescore is a command-line tool for post-docking rescoring of protein-ligand complexes using single-frame MM/GBSA calculations. It provides automated parameterization, complex assembly, and energy calculations through a streamlined interface to AmberTools.

Purpose: Rescore performs relative ranking of docked poses or compound series. It does not compute thermodynamically rigorous binding free energies.

Scope

This tool is designed for:

This tool is not designed for:

Scientific Positioning

Rescore performs single-frame MM/GBSA calculations—a fast, approximate method for estimating protein-ligand binding energies. The approach combines molecular mechanics force fields with implicit solvent models.

What It Does

What It Does Not Do

Methodology

Force Fields

Solvation Model

Minimization Protocol

By default, Rescore performs restrained energy minimization before scoring to relax steric clashes introduced by docking:

Important: The minimization step is not molecular dynamics. It is a local energy minimization to prepare structures for scoring. The calculation remains single-frame.

Use Cases

Appropriate

Inappropriate

Optional Features

Plotting

Pose-Rescorer optionally generates bar plots summarizing single-frame MM/GBSA or MM/PBSA scores to provide a visual aid for result inspection; these plots are descriptive only and do not alter score interpretation.

Rapid Perturbation Sampling (RPS)

RPS is an optional diagnostic feature that quantifies numerical sensitivity of single-frame scores to small coordinate perturbations. It generates N perturbed copies of a ligand (via Gaussian noise, default σ = 0.2 Å), rescores each, and reports statistics (mean, std, CV, 95% CI).

Critical: RPS is not molecular dynamics, conformational sampling, or thermodynamic ensemble averaging. It is numerical sensitivity analysis for uncertainty quantification only.

Philosophy

Rescore is built on the principle that computational tools should be honest about their limitations. MM/GBSA is a fast, approximate method—not a replacement for thermodynamic rigor.

This tool provides relative energies for ranking purposes. The absolute values have large uncertainties and should not be interpreted as quantitative predictions of binding affinity.

For publication-quality binding free energy predictions, consider alchemical methods (FEP, TI) or enhanced sampling techniques with explicit solvent.

Recommended reading: Genheden & Ryde (2015) "The MM/PBSA and MM/GBSA methods to estimate ligand-binding affinities." Expert Opin. Drug Discov. 10(5):449-461.