This National Science Foundation (NSF) Project Grant, awarded under the Engineering program (CFDA 47.041), provides $357,033 to North Dakota State University (NDSU) from August 15, 2023 to July 31, 2026 to support research on protein manipulation and engineering using an electronic biochemical approach. The project aims to develop a single-molecule manipulation technique to study the dynamics of protein-protein interactions, which is critical for understanding the causes of diseases related to...
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...
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 National Science Foundation (NSF) Faculty Early Career Development (CAREER) Program award to Northeastern University, under CFDA program 47.041 Engineering, provides $596,920 in funding from September 1, 2025 to August 31, 2030. The project aims to develop a mechanism-informed AI platform on biological systems-of-systems to enable the rapid assembly of flexible and robust biomanufacturing systems. Key objectives include creating a unified knowledge representation to integrate...
This Project Grant award of $100,000.00 from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) supports the development of deep learning-based consistency models to enable more efficient and accurate molecular dynamics (MD) simulations of protein dynamics over long time scales. The key objectives are to: Develop prototype consistency models trained on MD trajectories of simplified protein systems like polyalanine peptides. Optimize the model architecture and...
The National Science Foundation Division of Information and Intelligent Systems awarded Indiana University a $113,029 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research that will integrate deep learning and high-throughput experimentation to engineer proteins for non-native enzyme catalysis. Researchers will develop artificial intelligence models to interpret experimental data and guide iterative protein design. Two classes...
This $1,000,000 Project Grant award from the National Science Foundation's Biological Sciences (CFDA 47.074) program supports research by the University of California, San Francisco (UCSF) to design, build, and test synthetic signaling systems built from computationally-designed de novo protein components. The goal is to develop stable, tunable, and modular signaling systems capable of precisely controlling biological processes, with applications in biotechnology such as engineered cells for...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
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 (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $275,000 to Wild Microbes Co. to develop improved bacterial strains for the cost-effective production of proteins used in detergents, personal care products, and dairy. The project aims to identify superior bacterial protein production hosts and develop advanced genetic engineering tools to maximize the potential of these bacteria as protein factories. The goal is...