Bishajit Sarkar

This study investigates KCNN4 gene expression in pancreatic adenocarcinoma using bioinformatics, finding its expression correlates with survival and identifies associated biological functions.

This study computationally evaluates 53 phytochemicals targeting CCR5 and CXCR4 receptors for anti-HIV potential, identifying six with favorable druglikeness and ADMET properties.

The paper evaluates thirty plant-derived compounds for their ability to inhibit CDK-2, topoisomerase II, and VEGFR-2 using in silico methods and identifies three compounds with potential anti-cancer activity.

This study designs three potential subunit vaccines against HSV-1 using reverse vaccinology and bioinformatics, selecting three antigenic glycoproteins and epitopes, and identifies one optimal vaccine construct through molecular docking and simulation.

This study identifies blood-based biomarkers and therapeutic agents for PDAC using network analysis of microarray data from peripheral blood samples.