BACKGROUND Cross-docking is an approach to find the best holo structures among multiple structures available for a target protein. RESULTS CrossDocker significantly decreases the time needed for setting parameters and inputs for performing multiple dockings, data collection and subsequent analysis. CONCLUSION CrossDocker was written in Python language and is available as executable binary f...

UNLABELLED The new version of the TRITON program provides user-friendly graphical tools for modeling protein mutants using the external program MODELLER and for docking ligands into the mutants using the external program AutoDock. TRITON can now be used to design ligand-binding proteins, to study protein-ligand binding mechanisms or simply to dock any ligand to a protein. AVAILABILITY Executa...

Objective: To identify the novel and simple bioactive antiandrogens, that can overcome to side effects as well as drug resistance. Methods: The AutoDock Vina (ADT) 1.5.6 software is used for molecular docking purposes. The molecular structures were drawn in ChemBiodraw ultra and by the help of ChemBiodraw 3D, all structures were energy minimized by MM2 method and converted to pdb extension file...

Here, we describe the mechanism of diphenyl α-aminoalkylphosphonate ester derivatives as potent inhibitors of prostate-specific antigen (PSA), a likely protease responsible for the advancement of prostate tumor progression. The AutoDock 4.2 molecular docking suite was utilized to model covalent and noncovalent binding of this class of inhibitors to predict crystallographic poses and compare exp...

NNScore is a neural-network-based scoring function designed to aid the computational identification of small-molecule ligands. While the test cases included in the original NNScore article demonstrated the utility of the program, the application examples were limited. The purpose of the current work is to further confirm that neural-network scoring functions are effective, even when compared to...

Most biological actions of proteins, including their ability to interact with one another, involve some specific parts of their three-dimensional structure, called binding sites. These have evolved for their ability to bind other molecules effectively and are often conserved in different proteins. Identifying protein-protein binding sites in a protein that is known to interact with other protei...

Water plays a significant role in the binding process between protein and ligand. However, the thermodynamics of water molecules are often underestimated, or even ignored, in protein-ligand docking. Usually, the free energies of active-site water molecules are substantially different from those of waters in the bulk region. The binding of a ligand to a protein causes a displacement of these wat...

Covalent linkage formation is a very important mechanism for many covalent drugs to work. However, partly due to the limitations of proper computational tools for covalent docking, most covalent drugs are not discovered systematically. In this article, we present a new covalent docking package, the CovalentDock, built on the top of the source code of Autodock. We developed an empirical model of...

Selective side-chain residue flexibility is an option available on AutoDock Vina docking software. This approach is promising as it attempts to provide a more realistic ligand-protein interaction environment without an unmanageable increase in computer processing time. However, studies validating this approach are still scarce. VEGFR-2 (vascular endothelial growth factor receptor 2), a known pr...