Project Grant 2521344
- This $999,470 federal Project Grant award from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) will support a collaborative research effort to develop methods for discovering and designing small molecules that can combat antibiotic resistance, biofilms, and aflatoxin contamination. The lead institution, South Dakota State University (SDSU), will partner with South Dakota Mines (SDM) and the University of Nevada, Las Vegas (UNLV) to leverage artificial...
- This Project Grant award from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) will provide $2,190,786 to South Dakota State University (SDSU) to develop methods for discovering and designing small molecules to combat antibiotic resistance, microbial biofilms, and aflatoxin contamination. The 4-year project will leverage artificial intelligence (AI) and machine learning (ML) tools to accelerate the identification of bioactive compounds across three focus...
- This federal Project Grant award, valued at $596,920 and provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041), aims to develop a mechanism-informed AI platform to optimize biomanufacturing processes for life-saving biopharmaceuticals. Led by Northeastern University, the project will leverage emerging sensing technologies to efficiently decode the fundamental mechanisms underlying complex biomanufacturing systems. The goal is to create a flexible and robust AI-based...
- This $199,280 federal Project Grant award from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) will fund a workshop for artificial intelligence (AI)-powered materials discovery at the University of South Dakota (USD). The goal is to unite researchers from nine EPSCoR jurisdictions with experts in AI, engineering, materials science, physical science, and data science to create a world-class, data-driven materials research platform. The workshop will leverage...
- This $274,797 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award to Deepseq.ai LLC supports the development of an AI-driven platform to accelerate the identification of highly developable single-domain antibodies for drug discovery. The proposed work aims to create a multimodal AI model capable of rapidly screening large libraries to generate lead molecules with favorable binding affinity, stability, and manufacturability. This project...
- This $220,000 Project Grant award from the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program supports the development of advanced computational methodologies for drug discovery and development. The primary awardee, the Regents of the University of Minnesota, will create a comprehensive generative AI framework capable of efficiently generating high-quality drug candidates with multiple desired properties. This initiative aims to expedite...
- This Project Grant award of $275,956.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of an engineered cyber-physical system that combines advanced biological models with state-of-the-art artificial intelligence methods for predictive, automated screening of anti-cancer drugs and optimizing their dosing. The goal is to realize a precision medicine paradigm that can improve health outcomes and reduce treatment...
- This Project Grant award of $687,304 from the National Science Foundation's Biological Sciences (CFDA 47.074) program will enable the South Dakota School of Mines and Technology to acquire a BioLector XTM microbioreactor system. This specialized equipment can simultaneously grow and monitor up to 48 microbial cultures, replicating large-scale industrial fermentation conditions at a small scale. It will facilitate advanced research across disciplines such as microbiology, biochemical engineering,...
- This National Science Foundation (NSF) Research Traineeship (NRT) award to the South Dakota School of Mines and Technology (SDSM&T), in collaboration with the University of South Dakota, Black Hills State University, and Oglala Lakota College, will train 70 students, including 26 funded trainees, across master's and doctoral programs in data science, biosciences, and engineering. The $3,000,000 grant, awarded under the NSF's STEM Education program (CFDA 47.076), will prepare students to...
- This National Science Foundation (NSF) Project Grant, under the Office of International Science and Engineering program (CFDA 47.079), will provide $100,000 in funding to Arizona State University (ASU) to harness artificial intelligence (AI) methods to automate the design and characterization of nucleic acid nanodevices. The overarching goal is to develop novel generative AI techniques to streamline the design process for these complex bionanotechnology structures, which have promising...
This $809,743 Project Grant award from the National Science Foundation (NSF) Integrative Activities program (CFDA 47.083) will develop an artificial intelligence (AI) and machine learning (ML)-driven platform to accelerate the discovery and optimization of small molecules for combating antibiotic resistance, biofilms, and aflatoxin contamination. The collaborative effort between South Dakota State University (lead), South Dakota Mines, and the University of Nevada, Las Vegas will pursue three key research thrusts: (1) identifying bacterial cell death activators, (2) developing biofilm inhibitors, and (3) designing fungal toxin neutralizers. The award will enhance research infrastructure across the participating institutions, including an AI/ML screening platform, affordable teaching modules, and expanded biofilm and aflatoxin assay capabilities. This use-inspired project aims to lay the groundwork for future advances in human and animal health, microbial infrastructure deterioration prevention, and improved food safety.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $809.7k | 8/7/25 |