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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.
High performance GPU-accelerated ab initio molecular dynamics and TD/DFT software package for very large molecular or even nanoscale systems. Runs on NVIDIA GPUs and 64-bit Linux, has heavily optimized CUDA code. Proprietary, trial licenses available PetaChem LLC: TINKER: I Yes Yes Yes Yes I I Yes Yes Software tools for molecular design-Tinker ...
Molecular Operating Environment (MOE) is a drug discovery software platform that integrates visualization, modeling and simulations, as well as methodology development, in one package. MOE scientific applications are used by biologists, medicinal chemists and computational chemists in pharmaceutical, biotechnology and academic research.
LeDock is a molecular docking software, designed for protein-ligand interactions, that is compatible with Linux, macOS, and Windows. [2] [3] [4] The software can run as a standalone programme or from Jupyter Notebook. [5] It supports the Tripos Mol2 file format.
GROMACS is a molecular dynamics package mainly designed for simulations of proteins, lipids, and nucleic acids.It was originally developed in the Biophysical Chemistry department of University of Groningen, and is now maintained by contributors in universities and research centers worldwide.
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AutoDock is a molecular modeling simulation software. It is especially effective for protein-ligand docking. AutoDock 4 is available under the GNU General Public License. AutoDock is one of the most cited docking software applications in the research community. [1]
rDock (previously RiboDock) is an open-source molecular docking software that be used for docking small molecules against proteins and nucleic acids. It is primarily designed for high-throughput virtual screening and prediction of binding mode.