List of protein-ligand docking software explained

The number of notable protein-ligand docking programs currently available is high and has been steadily increasing over the last decades. The following list presents an overview of the most common notable programs, listed alphabetically, with indication of the corresponding year of publication, involved organisation or institution, short description, availability of a webservice and the license. This table is comprehensive but not complete.

Program Year Published Organisation Description Webservice License
1990 Automated docking of ligand to macromolecule by Lamarckian Genetic Algorithm and Empirical Free Energy Scoring Function
1988 Based on Geometric Matching Algorithm
2015 Target side-chain flexibility and soft scoring function, based on surface complementarity
2016 Lephar Program for fast and accurate flexible docking of small molecules into a protein
Glide[1] 2004 Glide is a ligand docking program for predicting protein-ligand binding modes and ranking ligands via high-throughput virtual screening. Glide utilizes two different scoring functions, SP and XP GlideScore, to rank-order compounds. Three modes of sampling ligand conformational and positional degrees of freedom are available to determine the optimal ligand orientation relative to a rigid protein receptor geometry
Molecular Operating Environment (MOE) 2008 Docking application within MOE; choice of placement methods (including alpha sphere methods) and scoring functions (including London dG)
1998 (commercial)
2006 (academic)[2]
2012 (open source)[3]
Vernalis R&D (commercial)
University of York (academic)
University of Barcelona (open source)
HTVS of small molecules against proteins and nucleic acids, binding mode prediction (formerly commercial, academic)
SEED1999 Automated docking of fragments with evaluation of free energy of binding including electrostatic solvation effects in the continuum dielectric approximation (generalized Born)

External links

Notes and References

  1. Kirkpatrick P . Gliding to success. . Nature Reviews Drug Discovery . April 2004 . 3 . 4 . 299 . 10.1038/nrd1364 . free .
  2. Web site: rDock. www.ysbl.york.ac.uk. 2020-02-12.
  3. Web site: About rDock. en-US. 2020-02-12.