Project Grant 2533077
- The National Science Foundation awarded a $422,834 Project Grant to the University of California Irvine under the Engineering federal grant program (CFDA 47.041) for research titled "Collaborative Research: Data-Driven Engineering of the Thermotolerant Yeast Kluyveromyces Marxianus." The three-year project period runs from October 1, 2022 to September 30, 2025. The award will support applying machine learning and deep learning techniques to metabolic engineering of yeast for...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 provides funding to Clue Genetics Inc. for the development of a fungi-focused metabologenomics platform for natural product discovery. The key products and services to be delivered under this 1-year Phase I SBIR project include: Annotating biosynthetic gene clusters (BGCs) from 200 genomes selected from a diverse set of bioactive fungi to uncover new drugs,...
- 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...
- The University of California, Santa Barbara will establish functional genomics capabilities in anaerobic fungi under a $480,000 Project Grant from the National Science Foundation Division of Integrative Organismal Systems. The three-year award, made under the Biological Sciences program (CFDA 47.074), will support collaborative research to develop genomic tools and resources for anaerobic fungi. These fungi play important roles in agriculture and carbon cycling but their genetics are not well...
- 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...
- 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 Biological Sciences program (CFDA 47.074), will provide $382,727 to The Pennsylvania State University (Penn State) from August 15, 2023 to July 31, 2026. The project will develop a comprehensive "gene annotation pipeline" toolbox to rapidly identify the functions of unknown genes, especially in non-model organisms. This will involve creating a library of microbial strains that can select for key metabolic reactions...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $545,000 to Trustees of Tufts College (doing business as Trustee of Tufts College) to explore optimizing the productivity of the food-safe yeast Pichia pastoris. The project will focus on understanding how this yeast allocates resources for protein synthesis, with the goal of maximizing productivity for food, biomedical, and scientific applications. Key activities include evaluating...
- The National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems awarded a $400,000 Project Grant to the Regents of the University of California at Riverside under the Engineering (47.041) federal grant program. The three-year award will support collaborative research using machine learning and synthetic biology approaches to engineer the thermotolerant yeast Kluyveromyces marxianus to maximize production of malonyl-coA, a key precursor to polyketides....
- This $350,000 project grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to develop a yeast strain with a robust protein secretion system that is tolerant to extreme pH and temperature levels. The primary objectives are to engineer the secretory pathway of the yeast Kluyveromyces marxianus using gene editing tools such as CRISPR, identify critical genes influencing protein production and secretion, and develop effective CRISPR libraries and selection...
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 leverage a curated dataset of over 8,000 fungal genomes to train deep neural network-based genomic language models that can predict gene expression and protein secretion performance directly from DNA sequence. The resulting models and datasets will be made publicly available using open-source software, enabling further research and development in this domain. The principal awardee is the University of California, Berkeley, which has a strong track record of delivering advanced scientific research and technological innovations to federal agencies across various disciplines.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $362.7k | 8/18/25 |