AutoGridFR

AutoGridFR calculates precomputed affinity maps for receptor structures to support molecular docking simulations in AutoDock.


Key Features:

  • Affinity Map Generation: Computes precomputed affinity maps describing receptor interaction potentials for use in AutoDock docking calculations.
  • AutoSite Integration: Uses an improved version of the AutoSite algorithm to automatically detect and characterize ligand-binding pockets on receptor structures.
  • Affinity Gradient Optimization: Introduces affinity gradients into affinity maps to reduce scoring function evaluations during docking searches.
  • Flexible Docking Support: Supports docking configurations including covalent docking, hydrated docking, and docking with flexible receptor side chains.
  • Docking Map Metadata Storage: Stores generated affinity maps together with metadata to maintain data provenance and reproducibility.

Scientific Applications:

  • Molecular Docking Studies: Precomputes receptor interaction grids used for docking simulations of ligand–receptor interactions.
  • Structure-Based Drug Discovery: Identifies ligand binding sites and evaluates candidate compounds through docking simulations.
  • Protein–Ligand Interaction Analysis: Models molecular interactions within receptor binding pockets using affinity maps.

Methodology:

AutoGridFR detects receptor binding pockets using the AutoSite algorithm, calculates affinity maps describing receptor interaction potentials, introduces affinity gradients to optimize docking search efficiency, and stores generated maps with associated metadata.

Topics

Details

Added:
11/14/2019
Last Updated:
12/2/2020

Operations

Publications

Zhang Y, Forli S, Omelchenko A, Sanner MF. AutoGridFR: Improvements on AutoDock Affinity Maps and Associated Software Tools. Journal of Computational Chemistry. 2019;40(32):2882-2886. doi:10.1002/jcc.26054. PMID:31436329. PMCID:PMC7737998.

PMID: 31436329
Funding: - National Institute of General Medical Sciences: R01GM096888