This Project Grant award of $305,000.00 from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to revolutionize drug discovery by accelerating molecular dynamics simulations through advanced AI techniques. The project, awarded to Giwotech Inc. in Dorchester, MA, seeks to develop a robust neural network model capable of simulating protein systems up to 500 times faster than current GPU-based classical molecular dynamic simulators while...
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 $280,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports the development of comprehensive generative AI methodologies and computational tools to expedite drug discovery, enhance cost efficiency, and improve success rates. The project aims to create a holistic generative AI framework capable of generating high-quality drug candidates with multiple desired properties, with the potential to transform...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Om Therapeutics Inc. will support the development of a system to enable the rapid, scalable, and cost-effective discovery of new medicines using machine learning. The project aims to encapsulate proteins and small molecules in millions of miniaturized compartments to screen for interactions that could identify novel drug candidates. The key innovations include...
The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to Trustees of Dartmouth College to support the development of an "Emerging Technology Tool for Rapid Drug-Cocktail Formulation." The project aims to create a technology platform that leverages the mathematical equivalence between biological and electronic circuits to enable rapid, high-throughput discovery of optimal drug cocktails for...
This Project Grant award from the National Science Foundation (CFDA 47.070 - Computer and Information Science and Engineering) to the Regents of the University of Minnesota will provide $220,000 to develop advanced generative AI methodologies and computational tools to expedite drug discovery and enhance cost efficiency. The key objectives are to create a holistic generative AI framework capable of generating high-quality drug candidates with multiple desired properties, as well as a direct...
This Project Grant award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) provides $303,864 to Core Biotherapeutics Inc. to develop a platform for discovering therapeutic drugs that can reprogram molecular networks to treat diseases. The project aims to determine the biological laws driving diseases at the molecular network level and create an algorithm to rapidly identify drug targets. The key goals are to demonstrate that oligonucleotide drug...
This Project Grant award of $305,000.00 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports Plexymer, Inc., a for-profit small business, to develop an artificial intelligence-driven platform for accelerated formulation of antibody therapeutics. The project aims to use AI and robotics to streamline the bioformulation process, potentially reducing the time and materials required to prepare antibody drugs for subcutaneous...
This $1,000,000 Cooperative Agreement award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to accelerate R&D in the pharmaceutical industry through the development of streamlined machine learning algorithms for small data applications in advanced manufacturing. The project, awarded to Sunthetics Inc., seeks to save time and resources by up to 95% in lead optimization and route scouting during pre-clinical drug development by...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $365,887 to The Research Foundation For The State University Of New York (RF SUNY) to develop an innovative artificial intelligence (AI) technology to select optimal treatment options for individual cancer patients. The goal is to prolong patient life by tailoring treatments to each patient, which can also reduce healthcare costs by avoiding...