Chapman University - Computational Biology Sciences

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Who We Are

Computational Biology and Translational Bioinformatics in Cancer Research: From Understanding Genetic and Molecular Signatures of Human Disease to Personalized Medicine.
The challenge of understanding biological systems at the molecular and systems level as well as the integration of   computational   and experimental approaches for bridging basic and clinical cancer research is what motivates our vibrant  research group. Our  scientific interests and research efforts are in the areas of Computational  Cancer Biology and Pharmacogenetics, Computational Genomics and Pharmacology, Translational Bioinformatics and Computational Medicine   with the focus  on the development and  integration of computational and experimental  approaches for (a) system-based analysis of evolutionary, genetic, molecular and clinical signatures associated with human disease; (b) modeling of complex phenotypes  and prediction of cancer biomarkers;  (c)  design and discovery of targeted and personalized cancer therapeutics  and development of expert systems for personalized medicine;  (d) integration of  computational biology and translational  informaticswith   chemical biology and  chemical genomics in translational cancer research; (e) enabling   information-driven biomedical  research  on the “bench to bedside” path.


Featured Publications

Molecular Recognition and Energy Landcapes

  • Dixit, A, G. Verkhivker.  The energy landscape analysis of cancer mutations in protein kinases.PLoS One. 2011;6(10):e26071. Epub 2011 Oct 6  [pdf]

Protein Kinases: Sturcture, Dynamics and Drug Design

Hsp90 Molecular Chaperone: Structure, Dynamics and Drug Design