In this work, we propose a deep learning approach to improve docking-based virtual screening. The deep neural network that is introduced, DeepVS, uses the output of a docking program and learns how to extract relevant features from basic data such as atom and residues types obtained from protein-ligand complexes. Our approach introduces the use of atom and amino acid embeddings and implements a...

Repurposing has gained momentum globally and become an alternative avenue for drug discovery because of its better success rate, and reduced cost, time and issues related to safety than the conventional drug discovery process. Several drugs have already been successfully repurposed for other clinical conditions including drug resistant tuberculosis (DR-TB). Though TB can be cured completely wit...

Results of a previous docking study are reanalyzed and extended to include results from the docking program FRED and a detailed statistical analysis of both structure reproduction and virtual screening results. FRED is run both in a traditional docking mode and in a hybrid mode that makes use of the structure of a bound ligand in addition to the protein structure to screen molecules. This analy...

Molecular docking has been extensively applied in virtual screening of small molecule libraries for lead identification and optimization. A necessary prerequisite for successful differentiation between active and non-active ligands is the accurate prediction of their binding affinities in the complex by use of docking scoring functions. However, many studies have shown rather poor correlations ...

A virtual world is a computer based environment, typically in three dimensions, where a person can interact and manipulate objects and communicate with others. Users are represented in the virtual world as avatars, although these are typically ’humans’, they can have any shape and size. Virtual worlds have been used for a number of applications including research, commerce and education. In thi...

Various proteins play important roles in diabetes and a number of plants have been tested for their efficacy in modulating diabetes. Of all the proteins, we selected aloes reductase enzyme to analyze few plant compounds computationally for their efficacy towards protein inhibition. A total of 85 compounds from different parts of a plant, Cuminum cyminum were studied. Analysis was conducted usin...

Although some docking methods accounting for protein flexibility exist, most large scale virtual screening approaches work with rigid protein models. A first step towards flexibility integration is the consideration of degrees of freedom resulting from hydrogens, especially, if involved in hydrogen bonding. To account for this type of flexibility, we present a flexible-hydrogen interaction mode...

In this study, we developed and evaluated a novel parallel virtual screening strategy by integrating molecular docking and complex-based pharmacophore searching based on multiple protein structures. First, the capacity of molecular docking or pharmacophore searching based on any single structure from nine crystallographic structures of Rho kinase 1 (ROCK1) to distinguish the known ROCK1 inhibit...