Xiaolin Cheng, PhD
Dr. Cheng’s research centers on computational drug discovery and design. His research utilizes a myriad of molecular modeling and simulation techniques (e.g., molecular dynamics, free energy calculations, etc.) and data analytics (e.g., machine learning, network analysis, etc.), to understand the molecular basis of drug action and to design rationally small-molecule therapeutics. Working at the interface between medicinal chemistry and structural pharmacology, Dr. Cheng’s goal is to bring a dynamics and systems perspective into the structure-based drug design paradigm. In this context, his laboratory is particularly interested in the design and discovery of allosteric and multi-target drugs for the treatment of cancer and other diseases.
Kari Hoyt, PhD
Dr. Hoyt's research team members are engaged in pre-clinical target identification for pharmacologic treatment of neurodegenerative and psychiatric disorders. They use in vivo and in vitro high-resolution fluorescence microscopy and high-content analysis of live neurons to reveal complex interactions between signaling pathways that regulate cell survival/function and circadian clock signaling. This work is designed to identify new avenues of chronotherapeutic target development for CNS disorders.