Panchenko Research Group

Computational Biology Branch, National Center for Biotechnology Information, NIH

Our goal

We study cellular networks on both molecular and systems levels and how their perturbation can lead to disease, for example cancer. The goal is find driving events, understand the molecular mechanisms of their action, link genotype with phenotype and decipher the relative roles of mutagenesis and selection in disease progression. To do this, we use machine learning, statistical and molecular modeling, molecular dynamics simulations methods to identify the key relationships between processes on gene, protein, nucleosomal, and biochemical pathway levels. From a practical point of view, this can provide predictive power for the behavior of the system in response to disease and offer experimental leads for identifying driver mutations and genes in cancer and for designing drugs affecting protein interactions and pathways.