Project Grant 2203284
- The National Science Foundation Division of Chemistry awarded a $1,010,000 project grant to the University of Texas at Austin to develop innovative mass spectrometry methods for characterizing intact proteins through June 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). Professor Jenny Brodbelt and her research group will apply ultraviolet photodissociation and other dynamic ion manipulation strategies to amplify structural and post-translational modification details...
- This $480,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports the development of novel approaches for assembling three-dimensional protein biomaterials. The primary goal is to create "coordinated protein frameworks" (CPFs) - extended protein lattices with defined geometries and tunable distances between the assembled proteins. This work leverages non-canonical amino acids to precisely control the...
- The National Science Foundation (NSF) Division of Chemistry awarded a $420,000 Project Grant to the Regents of the University of Michigan under the Mathematical and Physical Sciences program (CFDA 47.049) to develop new high-throughput technologies for characterizing the 3-dimensional structures of proteins and RNA. Specifically, the funding will support Professor Brandon Ruotolo and his research team in expanding the capabilities of Collision Induced Unfolding (CIU) - an approach that uses...
- The National Science Foundation (NSF) awarded a $348,398 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) federal grant program to Steffen Lindert and his group at Ohio State University. The funding will support computational studies to improve the understanding and outcomes of covalent labeling mass spectrometry (MS) measurements. The research aims to: 1) perform molecular dynamics simulations to understand how covalent labeling reagents interact with proteins and...
- This $1,272,751 Project Grant award from the National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program will fund research at The Ohio State University to develop new experimental methods, protocols, and analysis software for more accurately characterizing protein structure, dynamics, and interactions using nuclear magnetic resonance (NMR) spectroscopy. The research aims to make NMR more accessible to both experts and non-experts through standardized workflows and free,...
- The National Science Foundation (NSF) awarded a $386,199 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to the New Jersey Institute of Technology (NJIT) to develop a novel in-situ high-resolution mass spectrometry (HRMS) approach to detect short-lived degradation intermediates generated from the thermal or electrochemical degradation of per- and poly-fluoroalkyl substances (PFAS). The project, led by Professor Hao Chen, aims to better understand PFAS degradation...
- 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...
- The National Science Foundation (NSF) awarded a $637,370 Project Grant under the Mathematical and Physical Sciences program (CFDA 47.049) to Professor Borotto's research group at the University of Nevada, Reno. This 5-year grant, effective from February 1, 2025 to January 31, 2030, aims to characterize the processes driving gas-phase protein folding. The project will develop a novel laser-based technique to assess rapid protein folding pathways, which will improve capabilities to rapidly analyze...
- 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...
- Under this $200,000 Project Grant from the National Science Foundation Division of Chemistry's Mathematical and Physical Sciences program (CFDA 47.049), the New Jersey Institute of Technology will collaborate with the University of Rochester and University of Virginia to investigate the supramolecular assembly of beta-sheet nanofibrils composed of mirror-image peptides. The collaborative team will determine the structure of these systems with near-atomic precision using cryo-electron...
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 surface areas of different protein residues in any given conformation. This will greatly increase structural information for protein 3D structures. Structural modeling via molecular dynamics simulation will then determine protein 3D conformations and conformational changes in solution with high confidence. Undergraduate students will engage in the research, with the potential for broad scientific impact given the importance of experimentally capturing multiple conformations of a single protein. The award period is from August 15, 2022 to July 31, 2025.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $390.0k | 7/21/22 |