Vigneshwari Subramanian

This paper develops PKSmart, a computational model to predict human pharmacokinetic parameters using molecular features and animal PK data, achieving performance comparable to industry models.

The paper develops patient-specific Boolean models of prostate cancer signaling networks to identify actionable targets for personalized treatment, finding dose-dependent effects of inhibitors on key targets.

The paper links perturbation transcriptomics data with cell viability phenotypes to identify cell death and proliferation signatures, improving drug sensitivity prediction.