Project Grant 2618428
- Federal Grant Award Summary Georgia TECH Research Corp received a $100,000 Project Grant from the National Science Foundation's Division of Emerging Frontiers under the Biological Sciences program (CFDA 47.074), awarded July 1, 2025, with completion targeted for December 31, 2026. This collaborative research initiative, titled "ACED: Accelerating Protein Engineering with Evolution-Guided Generative AI and a Self-Driving Biofoundry," aims to develop advanced artificial intelligence (AI)...
- Federal Grant Award Summary Georgia Southern University Research & Service Foundation Inc. received a $285,435 Project Grant from the National Science Foundation's Division of Materials Research (CFDA 47.049 – Mathematical and Physical Sciences) effective June 1, 2025, through May 31, 2028. This collaborative research initiative, conducted in partnership with the University of Texas at Austin, focuses on developing a machine learning (ML)-assisted materials design cycle for bio-based...
- Federal Project Grant Award Summary The National Science Foundation (NSF) awarded the University of Georgia a $300,000 Project Grant on August 15, 2025, under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to develop SpectraGuru, an open-source software ecosystem for Raman and spectroscopic research and education. This Phase I award, with completion scheduled for July 31, 2026, will deliver a community-governed software platform that unifies fragmented spectroscopic...
- Summary of Federal Project Grant Award The University of Georgia Research Foundation, Inc. received a $1.915 million Project Grant from the Department of Energy's Office of Science (CFDA 81.049) awarded on September 1, 2025, with a completion date of August 31, 2026. The project, titled "High-Throughput Biochemical, Nuclear Magnetic Resonance, and Computational Predictive Biology to Decode Glycosyltransferases of Unknown Function in Sorghum bicolor," delivers fundamental scientific...
- Federal Project Grant Award Summary The National Science Foundation's Division of Molecular and Cellular Biosciences awarded $193,684 to the University of Georgia Research Foundation on September 1, 2025, under the Biological Sciences program (CFDA 47.074) for a collaborative research project investigating polo kinase function in maintaining chiral asymmetry within Tetrahymena thermophila, a ciliated protozoan. The project, which extends through August 31, 2029, delivers fundamental research...
- Federal Project Grant Award Summary The University of Georgia Research Foundation, Inc. received a $377,500 Project Grant award from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), effective August 1, 2025 through May 31, 2030. This award supports fundamental research merging bacteriophage biology with microbial glycobiology to advance understanding of phage-host interactions and bacterial evolution. The...
- Federal Project Grant Award Summary The University of Georgia Research Foundation, Inc. received a $291,690 Project Grant from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), awarded October 1, 2025, with completion anticipated September 30, 2028. This award supports the transformation and scaling of the AutoMech software suite to enable high-throughput generation of ab initio (quantum chemistry) data for automated kinetic model...
- Federal Project Grant Summary The University of Georgia received a $100,000 Project Grant award from the National Science Foundation's Division of Mathematical Sciences (CFDA 47.049: Mathematical and Physical Sciences) effective September 1, 2025, through August 31, 2028. This collaborative research initiative will develop an artificial intelligence (AI)-enhanced multiphysics and multiscale computational framework to mechanistically model erythrophagocytosis—the process by which macrophages...
- Federal Grant Award Summary Georgia TECH Research Corp received a $298,251 Project Grant from the National Science Foundation's Division of Biological Infrastructure under the Biological Sciences program (CFDA 47.074), effective September 1, 2025 through August 31, 2030. This CAREER award funds the development of artificial intelligence and machine learning (AI/ML) algorithms designed to address annotation inequality in protein function characterization. The research deliverables include a...
- Federal Grant Award Summary The National Science Foundation (NSF) Division of Civil, Mechanical, and Manufacturing Innovation awarded $143,856 to the University of Georgia Research Foundation, Inc. under the Engineering program (CFDA 47.041) to develop a physics-informed machine learning framework for inverse design of composite materials with tailored multidirectional mechanical properties. The collaborative research project, which commenced October 1, 2025 and concludes December 31, 2027,...
Federal Project Grant Award Summary The University of Georgia Research Foundation, Inc. received a $449,962 Project Grant award dated February 15, 2026, from the National Science Foundation (NSF) Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering program (CFDA 47.041). The award supports the development of glycosequencing, a novel technology that leverages next-generation sequencing (NGS) to rapidly and cost-effectively sequence and quantify glycan structures on therapeutic proteins. The research will employ DNA-barcoded lectins with NGS and artificial intelligence (AI) to map lectin binding patterns to specific glycan structures, addressing critical limitations of current glycan characterization methods that rely on expensive, specialized equipment such as mass spectrometry or nuclear magnetic resonance (NMR) spectroscopy. The project aims to accelerate the characterization and engineering of glycans in biotherapeutics, which are among the top revenue-generating drugs and where glycan structure directly impacts drug safety and efficacy. The award extends through July 31, 2028, and includes an educational outreach component involving a high school biological machine learning program designed to introduce students to data science concepts and their application to biological and biomedical research questions. The technology's development is expected to improve accessibility and throughput for glycan analysis while reducing associated costs for the biopharmaceutical manufacturing sector.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $450.0k | 2/24/26 |