Inhibition of Monkeypox Virus DNA Polymerase Using Phytochemicals: Computational Studies of Drug-Likeness, Molecular Docking, Molecular Dynamics Simulation and Density Functional Theory.

The emergence of zoonotic monkeypox (MPX) disease, caused by the double-stranded DNA monkeypox virus (MPXV), has become a global threat. Due to unavailability of a specific small molecule drug for MPX, this study investigated phytochemicals to find potent and safe inhibitors of DNA Polymerase (DNA Pol), a poxvirus drug target due to its role in the viral life cycle. For that, 146 phytochemicals were screened through drug-likeness and molecular docking analyses.

Targeting human inosine 5' monophosphate dehydrogenase type 2 for anti-dengue lead identification - a computational approach.

Dengue is a rapidly evolving arboviral disease that mainly affects tropical and subtropical regions of the world. The lack of therapeutic drugs and effective vaccines suggests that further resources need to be investigated. The effectiveness of the existing dengue vaccine is improbable as its efficacy depends on prior exposure to the dengue virus(DENV).

Computational investigation of phytochemicals targeting EGFR: molecular docking, molecular dynamics simulation and density functional theory studies.

Epidermal growth factor receptor (EGFR) is a prominent target for anticancer therapy due to its role in activating several cell signaling cascades. Clinically approved EGFR inhibitors are reported to show treatment resistance and toxicity, this study, therefore, investigates phytochemicals to find potent and safe anti-EGFR compounds. For that, phytochemicals were screened based on drug-likeness and molecular docking analysis followed by molecular dynamics simulation, density functional theory analysis and ADMET analysis to identify the effective inhibitors of EGFR tyrosine kinase (EGFR-TK) domain.