Project Grant 2442063
- The National Science Foundation (NSF) Biological Sciences (CFDA 47.074) Federal Grant Program awarded a $100,000 Project Grant to the Georgia Tech Research Corporation on July 1, 2025. The grant supports a collaborative research project titled "ACED: Accelerating Protein Engineering with Evolution-Guided Generative AI and a Self-Driving Biofoundry." The project aims to advance protein engineering by combining cutting-edge artificial intelligence (AI) methods with automated laboratory...
- This federal Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) in the amount of $100,000 will support collaborative research to develop deep learning-based "consistency models" that can simulate protein dynamics over long time scales. The goal is to overcome the limitations of current molecular dynamics simulation methods, which are constrained by the need for tiny time steps, in order to unlock new insights into protein behavior and...
- This $469,407 project grant from the National Science Foundation Division of Molecular and Cellular Biosciences, under the Biological Sciences federal grant program (CFDA 47.074), will fund research to discover novel functional RNA classes through computational integration of massively parallel RNA-binding protein binding and structure data. The awardee, Georgia Tech Research Corporation, will conduct this research from March 2023 through February 2028. Specifically, the organization will...
- This Project Grant award, titled "CAREER: STRUCTURE AND FUNCTION OF LIPID ANTIGEN SELECTION AND PRESENTATION", was provided by the National Science Foundation (NSF) under the Biological Sciences (CFDA 47.074) Federal Grant Program. The project seeks to study how lipids and protein molecules assemble to carry out their biological functions, with a focus on developing new computational tools to model lipid/protein complexes and characterizing the mechanisms by which lipids interact...
- This Project Grant, awarded by the National Science Foundation Division of Information and Intelligent Systems, provides $599,871 to Emory University from August 1, 2023 to July 31, 2026. The funding supports collaborative research at the intersection of machine learning, bioinformatics, and molecular biology. The project aims to advance algorithmic research using principled protein language models (PLMs) to gain deeper insight into the structural, functional, and evolutionary organization of...
- The federal Project Grant award, valued at $697,510.00 and funded by the National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program, aims to improve, validate, and interpret amino acid substitution models for protein evolution. The research will enhance understanding of how substitutions of amino acids in proteins impact their form and function, which is critical for reconstructing the evolutionary history of proteins and advancing phylogenetic inference. The project, with a...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $174,984 to Georgia Southern University Research & Service Foundation Inc. to develop a novel artificial intelligence (AI)-based computational framework. This framework aims to enhance the accuracy of modeling protein structures from medium-resolution cryo-electron microscopy (cryo-EM) images. By combining static quality information with...
- This federal Project Grant award, funded by the National Science Foundation (NSF) Engineering program (CFDA 47.041), supports the development of genomic language models to predict optimal genomes for commercial protein production using fungal microbes. The $362,749 award, commencing on September 1, 2025, will enable the creation of a digital twin model to identify genetic edits that improve protein synthesis and secretion across multiple fungal strains, particularly Pichia. The project will...
- This federal Project Grant award of $1,968,575.00 from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), is focused on developing computational approaches and machine learning methods to predict DNA-binding specificities for transcription factor proteins and the functional effects of genetic variants within proteins. The overarching goal is to gain a predictive understanding of proteins, their interactions,...
- 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 federal Project Grant award from the National Science Foundation's Biological Sciences program (CFDA 47.074) aims to advance protein function annotation by developing artificial intelligence (AI) and machine learning (ML) methods. The $298,251 award to Georgia Tech Research Corporation, a non-profit research organization, will fund research to improve the accuracy and coverage of protein function predictions and bridge the gap in function knowledge between understudied and well-characterized proteins. The 5-year project starting in Sep 2025 will focus on creating a systematic computational framework for protein function annotation, building ML models that incorporate biological principles and data uncertainty. This research has the potential to advance understanding of protein biology and yield new analytic algorithms with broad applications in areas such as drug discovery, vaccine development, and personalized diagnosis and treatment, contributing to improvements in human health and basic biology.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $298.3k | 7/21/25 |