Haswanth Vundavilli

Drug Target Identification in Triple Negative Breast Cancer Stem Cell Pathways: a computational study of gene regulatory pathways using Boolean networks

This study uses Boolean networks to identify optimal drug targets in TNBC stem cell pathways, finding that inhibiting STAT3, GLI, and NF-κB can prevent relapse and that drug combinations are more effective.

Network Modeling and Inference of Peroxisome Proliferator-Activated Receptor Pathway in High fat diet-linked Obesity

The paper models the PPAR pathway using a Bayesian approach to identify sub-pathways involved in HFD-induced obesity and suggests potential therapeutic targets.

Targeting Oncogenic Mutations in Colorectal Cancer using Cryptotanshinone

The paper identifies oncogenic mutations in colorectal cancer, constructs pathways, and uses boolean modeling to find effective drug combinations, validating results with wet lab experiments.