Project Grant 2516741
- 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 $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...
- This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), provides $431,800 to The University of Texas Southwestern Medical Center (UT Southwestern) to develop enhanced pipelines for proteome-wide protein-protein interaction (PPI) screening in humans. The project aims to leverage breakthroughs in protein structure prediction using deep learning and extensive genomic data to...
- This National Science Foundation project grant of $248,782 awarded on March 15, 2022 will fund the development of computational tools and a database for understanding intrinsically disordered protein-protein and protein-nucleic acid interactions through February 28, 2025. Funded under the Biological Sciences program (CFDA 47.074), Purdue University will create three interlocking computational methods at the 1D, 2D, and 3D levels to advance prediction and modeling of tertiary structures for...
- This two-year, $600,000 Project Grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) will support the development of a new antibody and sequencing-based strategy to comprehensively map and monitor dynamic protein interaction networks at high-throughput and single complex resolution. Specifically, the grantee, Columbia University, aims to barcode antibodies to uniquely identify up to hundreds of target proteins and employ a combinatorial barcoding split-pool...
- 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 $526,873 federal Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) program supports research at the University of California, Riverside on the mechanisms of protein-protein associations facilitated by molecular "glues". The research aims to computationally model and experimentally investigate how these molecular glues mediate the formation of protein complexes and enhance their biological functions. The project will contribute to...
- This National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) Project Grant award of $730,000 to the University of California, Los Angeles (UCLA) aims to transform the field of protein engineering through the development of an innovative technology called PicnnnShells. PicnnnShells are tiny, hollow particles that can rapidly screen up to one million different protein variations in a single day to identify useful proteins for research, industrial or medical applications. The...
- This $500,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) will fund Dr. Nicholas Truex at the University of South Carolina to investigate synthetic protein switches. The research aims to characterize the molecular interactions that enable these proteins to adopt two distinct folded structures, utilizing non-natural amino acids to dissect their conformation and stability. Key experimental techniques will include...
This Project Grant award of $894,785.00 from the National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program will enable the development of an integrated experimental and computational platform to accelerate the discovery of protein-protein interactions (PPIs). The platform will combine an algorithmically optimized pooling scheme, immunopurification-mass spectrometry, and a novel sparse signal reconstruction algorithm to transform the PPI mapping problem into a more efficient mathematical framework. This approach will increase the throughput of PPI discovery, democratizing the study of regulated protein interactions for researchers with varying resources. The award will also support the training of three undergraduate students, one graduate student, and two postdoctoral scholars in the interdisciplinary fields of proteomics and computational biology. The project aims to empower scientists to construct medium- to large-scale PPI networks across multiple conditions, fostering transformative discoveries in the biological sciences, and holds promise for industry applications, particularly in therapeutic antibody screens.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $894.8k | 7/31/25 |