The establishment of tools and methods from statistical mechanics and computer simulation technology to enable the exploration of biological molecules and their interactions plays a central role in discovery within biomedical research. This proposal represents a request for support of our ongoing efforts in this area and includes objectives to address challenges in the theory and modeling associated with these problems, as well as strategically chosen collaborations that will help elucidate important biomedical questions and provide crucial tests of the approaches we develop. Our proposed development efforts include the exploration of receptor-ligand interactions and the thermodynamics of ligand binding to biological receptors through the continued development and application of novel methods of free energy simulations to ligand binding thermodynamics, docking and receptor-ligand interaction modeling. The continued refinement, hardening and application of theoretical and computational methods of constant pH molecular dynamics to integrate the critical aspects of pH and protonation state changes in protein and nucleic acid receptors and their ligands in molecular simulations and modeling represents another challenge we will continue to address with the proposed work. Finally, software infrastructure, specifically the CHARMM macromolecular simulation package, provides the framework for advancing our methodological approaches and enabling the broader community to explore biomedically motivated questions via its wide usage and distribution. A component of our proposed efforts will be to continue the innovative implementation of methods and simulation approaches into this community standard software package. We will balance and drive our development efforts in the areas of free energy simulations, ligand ? receptor docking and pH-mediated structure-function processes, important to a deeper mechanistic understanding of biomedically directed questions, through strategic collaborations with experimental colleagues in the areas of: transcriptional activation based on small amphipathic molecules targeting co-activators from the CREB binding protein (KIX) and the AciD domain of Med25; key cancer targets such as menin-MLL protein- protein interaction inhibition; inhibitors of acyl protein thioesterases, targeted in anti-cancer therapies for oncogenic HRas; enzyme redesign and substrate scope expansion to better understand the evolution of function of a novel Flavin-dependent hydroxylase in exploiting complex chemical transformations important in the development of pharmaceuticals; pH-regulated sensors in kinase signaling associated with the G-protein from the tetrameric Gai protein; the pH-modulated switch for myristoylated histactophilin, the actin binding protein that is structurally homologous with interleukin-1b and fibroblast growth factor. Finally, we will engage experts in the development of big data applications of molecular simulations and the design and execution of robust user APIs to work with us toward advancing objectives in software development for large multi-scale simulations of cellular environments and automated workflows, through CHARMM-GUI, for sophisticated simulation protocols.

Public Health Relevance

The goal of this research effort is to develop novel and versatile methods to study via computer simulation biological molecules and their interactions with specific focus on methods for small molecule (drug-like) interactions with their biological receptors and pH-dependent mediation of biomedically important processes. Using a mutidisciplinary approach, improvements in theory and methods will be tested through strategic biomedical applications with experimental collaborators and new insights into fundamental biomedical questions relating transcription, cancer and signaling will be addressed.

National Institute of Health (NIH)
National Institute of General Medical Sciences (NIGMS)
Unknown (R35)
Project #
Application #
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Lyster, Peter
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Michigan Ann Arbor
Schools of Arts and Sciences
Ann Arbor
United States
Zip Code