headshot photo of Dr. Gennady Verkhivker

Dr. Gennady Verkhivker

Schmid College of Science and Technology; Physics, Computational Science and Engineering
School of Pharmacy
Office Location: Hashinger Science Center 118
Phone: 714-516-4586
Scholarly Works:
Digital Commons
Lomonosov Moscow State University, Bachelor of Science
Lomonosov Moscow State University, Master of Science


Dr. Verkhivker is currently a Professor of Computational Biology. He is also an Adjunct Professor of Pharmacology at the Department of Pharmacology, UC San Diego. His research activities are in the areas of computational cancer biology, translational bioinformatics, and computational pharmacology. He received his PhD in Physical Chemistry from Moscow University and completed a postdoctoral fellowship in computational biophysics from University of Illinois at Chicago. In 2000-2005, Dr. Verkhivker has held various research and management positions at Pfizer Global Research and Development, San Diego.  Since 2002, he has been Adjunct Professor of Pharmacology at the Skaggs School of Pharmacy and Pharmaceutical Sciences, UC San Diego. In 2006, he joined School of Pharmacy and Center for Bioinformatics, The University of Kansas as a Professor of Pharmaceutical Chemistry and Bioinformatics. Dr. Verkhivker returned to California in 2011 and joined Chapman University in August 2011 as a Full Professor of Computational Biology. Upon arrival to Chapman, Dr. Verkhivker has established a dynamic research group engaged in translational research that attracted a large cohort of undergraduate and graduate students.  He has been involved in various global University initiatives and collaborations. Dr. Verkhivker has served on a number of important committees including Search Committee for new Found Dean of BioPharmacy School. He is also chairing the Doctoral Steering Committee of the newly approved PhD Graduate Program in Computational Sciences.

Recent Creative, Scholarly Work and Publications

Network-based modelling and percolation analysis of conformational dynamics and activation in the CDK2 and CDK4 proteins: Dynamic and energetic polarization of the kinase lobes may determine divergence of the regulatory mechanisms. GM Verkhivker. Mol Biosyst. 2017, Accepted, In press
Multiscale Simulations and Network-Centric Modeling of the Hsp90-Cdc37 Chaperone Interactions with Protein Kinase Clients: Atomistic Reconstruction of Allosteric Regulatory Mechanisms and Client Recruitment by the Chaperone Machine Gabrielle Stetz, Amanda Tse, G M. Verkhivker Plos Computational Biology, Accepted, In press
Ensemble-Based Modeling and Rigidity Decomposition of Allosteric Interaction Networks and Communication Pathways in Cyclin-Dependent Kinases: Differentiating Kinase Clients of the Hsp90-Cdc37 Chaperone. Gabrielle Stetz, Amanda Tse, G M. Verkhivker Plos ONE, Accepted, In press
Allosteric Mechanisms of BRAF Kinases Regulation and Combating Drug Resistance of Kinase Inhibitors: A Synergistic Perspective from Computational Systems Biology and Biophysical Studies. Stetz G, Tse A, Bouz J, Verkhivker G. J. Mol. Biol. 2016, revision submitted
A.Tse, K. Blacklock, GM. Verkhivker. Capturing Differential Sensitivity of Protein Kinases to Drug Binding and Mutations via Modeling of the Residue Interaction Networks and Allosteric Communication Pathways. Plos Computational Biology, 2015 , revision submitted
Computational modeling of Hsp90 molecular chaperone structure, dynamics and function: a synergistic perspective from biophysical simulations and systems biology analysis. N. Lawless, E. Berrigan, K. Blacklock, G. Verkhivker.Molecular Systems Biology, revision submitted