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Molecular Operating Environment (MOE) HM MD MM NA QM SMI XRD: Proprietary: Windows, Linux, OS X; SVL programming language Build, edit and visualise small molecules, macromolecules, protein-ligand complexes, crystal lattices, molecular and property surfaces. Platform for extensive collection of molecular modelling / drug discovery applications ...
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.
Package repositories are generally specific to the distribution of Linux the bioinformatician is using. A number of Linux variants are prevalent in bioinformatics work. Fedora is a freely-distributed version of the commercial Red Hat system. Red Hat is widely used in the corporate world as they offer commercial support and training packages.
Comprehensive life science modeling and simulation suite of applications focused on optimizing drug discovery process: small molecule simulations, QM-MM, pharmacophore modeling, QSAR, protein-ligand docking, protein homology modeling, sequence analysis, protein-protein docking, antibody modeling, etc. Proprietary, trial available
Coarse-grained models are often implemented in the case of protein-peptide docking, as they frequently involve large-scale conformation transitions of the protein receptor. [7] [8] AutoDock is one of the computational tools frequently used to model the interactions between proteins and ligands during the drug discovery process. Although the ...
A unified interface for: Tertiary structure prediction/3D modelling, 3D model quality assessment, Intrinsic disorder prediction, Domain prediction, Prediction of protein-ligand binding residues Automated webserver and some downloadable programs RaptorX: remote homology detection, protein 3D modeling, binding site prediction
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.
In the CHARMM22 protein force field, the atomic partial charges were derived from quantum chemical calculations of the interactions between model compounds and water. Furthermore, CHARMM22 is parametrized for the TIP3P explicit water model. Nevertheless, it is often used with implicit solvents. In 2006, a special version of CHARMM22/CMAP was ...