Project Grant 2402592
- 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 $306,532 federal Project Grant award from the National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will fund research at Yale University to investigate the role of molecular motions in the allosteric activation of the enzyme imidazole glycerol phosphate synthase. The project will utilize advanced field cycling nuclear magnetic resonance spectroscopy techniques, coupled with computational modeling, to gain unprecedented insights into the timescales and...
- This $685,925 National Science Foundation Project Grant supports research at Georgia Tech Research Corporation to develop novel graph neural networks and machine learning strategies to understand, predict, and design allosteric transcription factors. The NSF Division of Chemistry and Divisions of Chemical, Bioengineering, Environmental and Transport Systems and Information and Intelligent Systems are jointly supporting this work under the Mathematical and Physical Sciences program (CFDA 47.049)....
- This $390,000 National Science Foundation Project Grant, awarded under the Mathematical and Physical Sciences program (CFDA 47.049), will support the development of Absolute Quantitative Protein Footprinting Mass Spectrometry (AQPFMS) for probing protein three-dimensional structures. Professor Hao Chen of the New Jersey Institute of Technology and collaborator Xiaolin Cheng of Ohio State University will refine an approach using AQPFMS to provide quantitative analysis of solvent-accessible...
- This Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), provides $280,000 to The Ohio State University for the development of a comprehensive generative AI framework capable of generating high-quality drug candidates with multiple desired properties. The two-year project, titled "COLLABORATIVE RESEARCH: ACED: BUILDING MOLECULE GENERATIVE MODELS FOR DRUG DEVELOPMENT VIA...
- The National Science Foundation (NSF), through its Mathematical and Physical Sciences program (CFDA 47.049), awarded a $540,000 Project Grant to the University of Illinois Chicago. The grant supports research by Dr. Ao Ma to study the mechanistic roles of protein conformational transitions and water dynamics in ligand binding, a critical process in biology and medicine. The research aims to apply novel computational methods to reveal the step-by-step pathways and driving forces behind ligand...
- This $699,999.00 Project Grant award, funded by the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049), supports Drs. Scott Aoki and Jonah Vilseck from the Indiana University School of Medicine to develop a computational strategy to accurately predict how unmodified and modified RNAs interact with regulatory RNA-binding proteins. The research aims to advance the "-dynamics modeling technique to determine the sequence preferences of RNA-binding proteins...
- This $448,150 Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) aims to develop a DNA-based toolbox for the rapid and precise modulation of cell membrane protein-protein interactions (PPIs). The goal is to establish a modular approach using antibodies and aptamers to enable targeted DNA barcoding of cell membrane proteins, particularly receptor tyrosine kinases. This will allow for the controlled stabilization of specific PPI pairs on living...
- This National Science Foundation (NSF) Project Grant, awarded under the Mathematical and Physical Sciences (CFDA 47.049) program, provides $233,333 to The Ohio State University to develop and implement multifunctional DNA-based nanoscale devices. The goal is to detect genetic activity and control gene expression, particularly related to cell state and differentiated functions. The devices will enable mechanical control of gene regulation and provide insights into how chromatin structure and...
- This National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) project grant award of $1,500,000 supports research by Dr. Tamar Schlick of New York University and Dr. Alain Laederach of the University of North Carolina at Chapel Hill. The project aims to develop advanced computational tools to predict and control how viral protein synthesis is affected by programmed ribosomal frameshifting (PRF) - the mechanism by which viruses and human cells modify gene expression. Key...
This $486,845 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program supports Professor Xiaolin Cheng of Ohio State University in developing computational tools and a theoretical framework for analyzing allosteric regulation in proteins. The research aims to advance the fundamental understanding of allosteric modulation, a key mechanism of protein function and regulation with significant implications for drug discovery. The project will establish quantitative methods to evaluate how allosteric modulators impact target proteins, bridging critical gaps in current knowledge. This work has the potential to enable the rational engineering of allosteric proteins and the design of more effective allosteric drugs. The award period runs from June 1, 2024 to May 31, 2027, and does not involve any sub-award arrangements.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $486.8k | 5/6/24 |