Project Grant 2434170

Award Date 8/1/25
Completion Date 7/31/27
Dollars Obligated $100K
Funding Federal Agency
Division of Emerging Frontiers
Federal Grant Program
47.074
Assistance Type
Project Grant
Place of Performance
Lexington, KY 40526, USA
Similar Awards
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $150,000 will support the University of Missouri System in developing novel deep learning-based "consistency models" to enable more efficient and long-duration molecular dynamics (MD) simulations of protein structures and dynamics. The central goal is to overcome the limitations of traditional MD simulations, which are constrained by small time...
This $133,476 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of scalable and transferable machine learning models to predict and analyze the conformational fluctuations of biomolecules like proteins. The principal investigator, Grant Rotskoff of Stanford University, aims to integrate neural networks for density estimation with coarse-grained molecular models to construct accurate configurational...
The National Science Foundation (NSF) Division of Molecular and Cellular Biosciences awarded a $710,128 Project Grant under the Biological Sciences (CFDA 47.074) program to The Research Foundation For The State University Of New York (SUNY) to conduct collaborative research on the "Energy Landscapes of Designed Cold Unfolding Proteins." The research aims to enhance understanding of the distinct three-dimensional shapes that proteins can adopt at extreme cold temperatures and high...
The National Science Foundation (NSF) awarded a $253,890 Project Grant under the Biological Sciences program (CFDA 47.074) to Western University of Health Sciences to conduct research on sensory membrane proteins. The goal is to develop computational tools capable of realistic simulations of how these proteins respond to external stimuli like pressure, heat, and sound. The research project, titled "Collaborative Research: Ultra-Fast Simulations of Sensory Membrane Proteins with Validation...
This $795,135 Project Grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research at the University of Illinois on protein dynamics under extreme environmental conditions. The four-year award beginning June 1, 2022 will fund three related subprojects investigating how proteins adapt to enable organism survival in stressful environments like heat, pressure and dehydration. The research will study intrinsically disordered protein structure and...
This National Science Foundation Project Grant of $536,946 will support research at the University of California, San Diego from September 2022 through August 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). The award will fund the development of rigorous scientific theories and powerful computational tools to model biomolecular interactions. Researchers will design advanced numerical methods to simulate drug and protein binding/unbinding kinetics, incorporating molecular...
This award from the National Science Foundation's Biological Sciences program (CFDA 47.074) provides $741,000 to the University of Chicago to develop a fast and accurate computational tool called UPSIDE for simulating the dynamics and structure of large membrane proteins involved in sensing environmental stimuli like force and heat. The research aims to enhance the understanding of how sensory membrane proteins in humans and animals function at the atomic level, which is crucial for addressing...
This Project Grant award of $270,000 from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) supports a Postdoctoral Fellowship to investigate the evolutionary determinants of protein biophysics. The research aims to characterize the relationship between protein stability and effective population size, using the rhinovirus 3C protease as a model system. The fellowship will produce a large publicly available dataset and engage in outreach and mentorship of community...
This three-year $1,198,460 Project Grant from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of deep learning models for protein-DNA complex structure prediction, design, and evaluation. Professors David Baker and Frank DiMaio of the University of Washington Department of Biochemistry, along with Barry Stoddard of the Fred Hutchinson Cancer Center, will create three deep learning models: one for predicting protein-DNA...
The National Science Foundation (NSF) Division of Molecular and Cellular Biosciences awarded a $206,912 Project Grant under the Biological Sciences (CFDA 47.074) program to the University of North Carolina at Chapel Hill. The three-year grant, effective August 1, 2023 through July 31, 2026, supports collaborative research to enhance the understanding of protein structures and behaviors at extreme temperature and pressure conditions. The research aims to develop rules for predicting protein...

This National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program grant award of $100,000 supports the development of deep learning-based "consistency models" to enable more efficient and long-duration molecular dynamics (MD) simulations of protein dynamics. The goal is to overcome limitations of traditional MD simulations in capturing long-timescale protein behavior critical for understanding processes like protein folding and aggregation. The research will focus on three primary tasks: (1) developing prototype consistency models using simplified test systems, (2) optimizing model architecture and encoding to balance efficiency and accuracy, and (3) benchmarking the models on complex protein systems. If successful, this work could significantly accelerate scientific understanding of dynamic protein properties with potential applications in medicine, biotechnology, and materials science. No sub-awards are planned under this grant, which is co-funded by NSF's Directorates for Computer and Information Science and Engineering and Biological Sciences.

Generated 7/1/25, 2:13 AM