Global Origin and Spatiotemporal Spread of Hepatitis C Virus Epidemic Genotypes/Subtypes: A Complete Genome-Based Phylodynamic and Phylogeographic Analyses.

Hepatitis C virus (HCV) is a pathogenic virus of global health concern. The phylodynamics of HCV genotypes/subtypes 1a, 1b, 2, and 3 are explored only for specific geographic regions. However, their genome based global origin and detailed spatiotemporal spread, have yet to be extensively studied.

Design and synthesis of N-acyl and dimeric N-Arylpiperazine derivatives as potential antileishmanial agents.

The current regime for leishmaniasis is associated with several adverse effects, expensive, parenteral treatment for longer periods and the emergence of drug resistance. To develop affordable and potent antileishmanial agents, a series of N-acyl and homodimeric aryl piperazines were synthesized with high purity, predicted druggable properties by in silico methods and investigated their antileishmanial activity. The in vitro biological activity of synthesized compounds against clinically validated intracellular amastigote and extracellular promastigote form of Leishmania donovani parasite showed eight compounds inhibited 50% amastigotes growth below 25 µM.

Targeting non-structural proteins of Hepatitis C virus for predicting repurposed drugs using QSAR and machine learning approaches.

Hepatitis C virus (HCV) infection causes viral hepatitis leading to hepatocellular carcinoma. Despite the clinical use of direct-acting antivirals (DAAs) still there is treatment failure in 5-10% cases. Therefore, it is crucial to develop new antivirals against HCV.

Prediction of repurposed drugs for Coronaviruses using artificial intelligence and machine learning.

The world is facing the COVID-19 pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). Likewise, other viruses of the family were responsible for causing epidemics earlier. To tackle these viruses, there is a lack of approved antiviral drugs.