Steady-State Kinetic Modeling Constrains Cellular Resting States and Dynamic Behavior. - Jeremy E. Purvis; Ravi Radhakrishnan; Scott L. Diamond (PLoS Comput. Biol., 2009)

Minimal Mesoscale Model for Protein-Mediated Vesiculation in Clathrin-Dependent Endocytosis. - Neeraj J. Agrawal; Jonathan Nukpezah; Ravi Radhakrishnan (PLoS Comput. Biol., 2010)

Computational methodology for mechanistic profiling of kinase domain mutations in cancers. - Peter J. Huwe; Ravi Radhakrishnan (IARWISOI, 2012)

Temporal multiscale approach for nanocarrier motion with simultaneous adhesion and hydrodynamic interactions in targeted drug delivery. - Ravi Radhakrishnan; Uma Balakrishnan; Jin Liu 002; Portonovo S. Ayyaswamy; David M. Eckmann (J. Comput. Phys., 2013)

Machine learning predictions of cancer driver mutations. - E. Joseph Jordan; Ravi Radhakrishnan (IARWISOI, 2014)

Computational horizons in cancer (CHIC): Developing meta- and hyper-multiscale models and repositories for in Silico Oncology - A brief technical outline of the project. - Georgios S. Stamatakos; Dimitra D. Dionysiou; Fay Misichroni; Norbert M. Graf; Stefaan W. Van Gool; Rainer Bohle; Feng Dong 005; Marco Viceconti; Kostas Marias; Vangelis Sakkalis; Nikolaus Forgó; Ravi Radhakrishnan; et al. (IARWISOI, 2014)

Time-dependent antagonist-agonist switching in receptor tyrosine kinase-mediated signaling. - Alokendra Ghosh; Ravi Radhakrishnan (BMC Bioinform., 2019)

Design of Inhibitors That Target the Menin-Mixed-Lineage Leukemia Interaction. - Moses N. Arthur; Kristeen Bebla; Emmanuel Broni; Carolyn Ashley; Miriam Velazquez; Xianin Hua; Ravi Radhakrishnan; Samuel K. Kwofie; Whelton A. Miller III (Comput., 2024)

Machine learning enabled multiscale model for nanoparticle margination and physiology based pharmacokinetics. - Sahil Kulkarni; Benjamin Lin; Ravi Radhakrishnan (Comput. Chem. Eng., 2025)