In order to perform some of their most important functions, cells must be able to generate, sense, and respond to mechanical forces. Many ?mechanosensing? proteins have been discovered that are believed to change their behavior in a predictable and repeatable way when under mechanical tension. Yet, in most of these cases, we don?t know the molecular basis of how this force shifts the conformations adopted by the protein, or how this then leads to a concomitant change function. The molecular basis of mechanosensing can in principle be predicted using molecular simulation techniques, however this approach has either not been employed or not been successful because of the small magnitude of forces involved and the large size and complexity of the mechanosensors. In this work, we will develop a set of new simulation methodologies to properly sample protein conformations and protein-ligand biding lifetimes at a range of small forces. We will employ these techniques to study mechanosensing in three different contexts where we believe three distinct mechanisms for changing behavior in response to force are employed. Overall, the work in these studies will lead to a much greater understanding of the molecular paradigms used by cells to regulate their behavior in response to mechanical stimuli, and expand our simulation toolbox to be able to properly sample and assess their response to physiologically small forces.

Public Health Relevance

In the process of properly performing crucial biological functions?such as adhering to substrates, adhering to neighboring cells in tissues, and dividing in two?cells must generate, sense, and respond to mechanical forces. These processes also play roles in human health and disease, being utilized in the metastasizing and environmental adaptation of cancer cells, and being implicated in functions required for immune cell sensing and regulating blood flow. In this work, we are using computer simulations to predict how ?mechanosensing? proteins underlying these processes change their behavior in response to applied force.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Unknown (R35)
Project #
1R35GM138312-01
Application #
10028613
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Lyster, Peter
Project Start
2020-09-01
Project End
2025-06-30
Budget Start
2020-09-01
Budget End
2021-06-30
Support Year
1
Fiscal Year
2020
Total Cost
Indirect Cost
Name
New York University
Department
Chemistry
Type
Schools of Arts and Sciences
DUNS #
041968306
City
New York
State
NY
Country
United States
Zip Code
10012