Anshul Saini

This paper introduces scPBPK models to study drug disposition at the cellular level, showing heterogeneity in drug concentration using negative binomial distributions for ED processes.

The paper uses neural networks to predict protein evolutionary rates by integrating molecular and cellular features across multiple scales, showing that protein-level and site-level properties contribute additively to evolutionary rate variance.

The paper investigates the generation time effect on protein substitution rates across mammals and develops an integrated model of protein evolution.