Computational Biology in Cancer Research
The greatest challenge of the postgenomic era is to understand the function of genes and gene products in multiple organisms
Our research is focused on the development and integration of computational and experimental approaches for high-throughput ligand screening and design
Protein kinase genes are signaling switches with a conserved catalytic domain that phosphorylate protein substrates and play a critical role
The challenge of understanding biological systems at the molecular and systems level as well as the integration of computational and
Dancing through Life: Molecular Dynamics Simulations and Network-Centric Modeling of Allosteric Mechanisms in Hsp70 and Hsp110 Chaperone Proteins.
Stetz G1, Verkhivker GM1,2. Author information 1 Graduate Program in Computational and Data Sciences, Schmid College of Science and Technology,