Mst Sharmin Sultana Shimu

TL;DR: In this paper, the authors employed a rigorous literature review pipeline to enlist 3063 compounds from more than 200 plants from the Asian region and employed a virtual screening procedure to shortlist the total compounds into 19 based on their better binding energy.

TL;DR: In this paper, the authors obtained antiviral peptides obtained from the data repository of antimicrobial peptides (DRAMP) and screened their predicted tertiary structures for the ability to inhibit the main protease of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using multiple combinatorial docking programs, including PatchDock, FireDock and ClusPro.

TL;DR: In this article, a poly-epitope vaccine for the Middle East respiratory syndrome coronavirus (MERS-CoV), which causes severe respiratory disease, was designed using immunoinformatics and computational approaches.

TL;DR: In this article, 88 peptides from the AVPdb database were modeled to carry out the docking interactions and four peptides molecules, P14, P39, P41, and P74, had more binding energy than the rest of the peptides in multiple docking programs.

TL;DR: In this article, the authors constructed a phytochemical dataset based on a rigorous literature review and explored the probability that various phytochemicals will bind with the main protease using a molecular docking approach.