Search Results for "docking protein"

MOLS 2.0 is a free and open-source software package for peptide modeling and protein-ligand docking. Authors: Dr. D. Sam Paul, Dr. S. Nehru Viji, Dr. P. Arun Prasad, Dr. K. Vengadesan, Dr. N. Gautham. If you use MOLS 2.0 for publication, please cite - D. Sam Paul, N. Gautham, MOLS 2.0: software package for peptide modeling and protein–ligand docking, Journal of Molecular Modeling 22 (2016) 1–9. Publications related to MOLS 2.0: 1.

the ADFRsuite provides a self contain python-based software environment with various tools for automated docking. visit ccsb.scripps.edu/adfr for more info

Protein-ligand docking programs are indispensable tools for predicting the binding pose of a ligand to the receptor protein. Based on the implementation of AutoDock Vina, GWOVina employs grey wolf optimization (GWO) algorithm to speed up the search for optimal ligand poses. Our rigid docking experiments show that GWOVina has enhanced exploration capability leading to significant speedup in the search while maintaining comparable binding pose prediction accuracy to AutoDock Vina. ...

A fast docking tool based on the efficient optimization algorithm of Particle Swarm Intelligence and the framework of AutoDock Vina. Based on the initial PSO implementation, our PSOVina method has undergone several important improvements to enhance the docking accuary and achieve remarkable efficiency as compared to the original AutoDock Vina. https://cbbio.online/software/psovina/index.html

...We have integrated Ligand Based Virtual Screening (LBVS) technique which uses ChemmineR - a reliable cheminformatics package on R platform and Structure Based Virtual Screening (SBVS) technique which uses AutoDock Vina - freely available and widely used protein-ligand docking tool. This pipeline has R scripts to perform VS automatically in step-wise manner. To increase the efficiency of VS, we have used data level parallel processing approach using task-pull methodology of Master-Slave communication protocol.

A distance-constraint-driven protein-protein docking approach

OFF-TARGET PIPELINE is a platform intended to carry out a recently introduced chemical systems biology approach for secondary target identification, but may also be useful to other applications in bioinformatics and drug discovery.