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AutoDock Vina is a successor of AutoDock, significantly improved in terms of accuracy and performance. [3] It is available under the Apache license . Both AutoDock and Vina are currently maintained by Scripps Research , specifically the Center for Computational Structural Biology (CCSB) led by Dr. Arthur J. Olson [ 4 ] [ 5 ]
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.
LeDock utilizes a simulated annealing and genetic algorithm approach for facilitating the docking process of ligands with protein targets. The software employs a knowledge-based scoring scheme that is derived from extensive prospective virtual screening campaigns.
UCSF Chimera (or simply Chimera) is an extensible program for interactive visualization and analysis of molecular structures and related data, including density maps, supramolecular assemblies, sequence alignments, docking results, trajectories, and conformational ensembles. [1]
Quantum chemistry computer programs are used in computational chemistry to implement the methods of quantum chemistry.Most include the Hartree–Fock (HF) and some post-Hartree–Fock methods.
The Molecular Operating Environment was developed by the Chemical Computing Group under the supervision of President/CEO Paul Labute. [3] Founded in 1994 [4] and based in Montreal, Quebec, Canada, this private company is dedicated to developing computation software that will challenge, revolutionize, and aid in the scientific methodology.
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Scoring functions are widely used in drug discovery and other molecular modelling applications. These include: [4] Virtual screening of small molecule databases of candidate ligands to identify novel small molecules that bind to a protein target of interest and therefore are useful starting points for drug discovery [5]