MetalDock

MetalDock docks metal-organic complexes to protein and nucleic acid structures using the AutoDock engine and three established quantum chemistry software packages to predict binding geometries and enable high-throughput screening of metal complexes.


Key Features:

  • AutoDock integration: Integrates the AutoDock docking engine to perform molecular docking of metal-organic complexes.
  • Quantum chemistry integration: Integrates with three established quantum chemistry software packages to facilitate automated docking processes for metal-organic complexes.
  • Monte Carlo parameterization: Uses a Monte Carlo sampling scheme to derive Lennard-Jones parameters for 12 different metal atom types.
  • Parameter generalizability: Provides Lennard-Jones parameters that generalize across various metal atom types.
  • Predictive accuracy: Predicts binding geometries that closely match experimentally determined crystal structures with high spatial reproducibility.
  • High-throughput workflows: Supports automated, high-throughput docking workflows for screening metal complexes against protein targets.
  • Biomacromolecule coverage: Capable of docking metal-organic compounds to proteins and nucleic acids.

Scientific Applications:

  • High-throughput screening: Screening libraries of metal complexes against protein targets to identify potential binders.
  • Structural prediction: Predicting and validating binding geometries of metal complexes against experimentally determined crystal structures.
  • Therapeutic discovery: Modeling protein–metal interactions to explore the therapeutic potential of metal-based compounds.
  • Nucleic acid docking: Docking metal-organic compounds to nucleic acids and other biomacromolecules.

Methodology:

MetalDock employs the AutoDock docking engine, integrates three established quantum chemistry software packages, and uses a Monte Carlo sampling scheme to derive Lennard-Jones parameters for 12 metal atom types to perform automated docking.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
library
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
4/19/2024
Last Updated:
11/24/2024

Operations

Publications

Hakkennes MLA, Buda F, Bonnet S. MetalDock: An Open Access Docking Tool for Easy and Reproducible Docking of Metal Complexes. Journal of Chemical Information and Modeling. 2023;63(24):7816-7825. doi:10.1021/acs.jcim.3c01582. PMID:38048559. PMCID:PMC10751784.