Cooperative Agreement 2451698

Award Date 7/15/25
Completion Date 6/30/27
Dollars Obligated $1.2M
Federal Grant Program
47.084
Assistance Type
Cooperative Agreement
Place of Performance
Atlanta, GA 30306, USA
Similar Awards
This $274,990 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) supports the development of a physics-based machine learning platform for predicting the crystal structure of small drug molecules. The technology aims to accelerate and reduce the cost of early-stage pharmaceutical research and development by computationally analyzing the crystal structure properties that determine key...
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 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 Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,250,000 in funding to Zaiput Flow Technologies LLC, a small business manufacturer based in Waltham, Massachusetts. The project aims to further develop an innovative continuous crystallization device to improve pharmaceutical manufacturing processes. Key goals include demonstrating excellent performance and scalability of the technology...
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...
This Cooperative Agreement award, provided by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) federal grant program, aims to develop a novel drug discovery platform based on high-throughput elicitor screening (HITES) of microbial natural products. The $999,109 award to Cryptyx Bioscience, Inc. seeks to further validate molecules discovered in Phase I and demonstrate the platform's ability to uncover compounds with suitable drug-like...
This Cooperative Agreement award from the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships program) provides $2,375,361 to Lygos, Inc. to develop computational tools for designing improved protein transporters to enhance biomanufacturing efficiency and supply chain resilience. The project aims to overcome limitations in bioproduction by leveraging AI and machine learning to create user-friendly tools for designing transporters with enhanced specificity...
This Cooperative Agreement award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $999,878 to Akttyva Therapeutics, Inc., a small business located in Watertown, MA, to develop an AI-assisted drug discovery platform to identify existing drugs and new chemical entities capable of repairing vascular permeability barriers. The project aims to address unmet clinical needs for conditions like acute respiratory distress...
This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $556,697 to the University of Colorado Boulder to improve approaches for predicting molecular crystal properties using generative modeling techniques. The project, led by Professor Michael Shirts, aims to develop machine learning models that can accurately explore molecular conformational ensembles and estimate the thermodynamics of small molecule crystals. This...
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 Cooperative Agreement award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,213,322 to Lavo Life Sciences Inc. for the development of a physics-based machine learning platform to predict the crystal structure and solid form properties of new drug molecules. The goal is to accelerate the development and commercialization of new pharmaceutical products by enabling scientists to optimize drug products more efficiently through computer simulations, reducing the time and cost of bringing life-saving medicines to market. The project builds on innovations from a previous Phase I SBIR award and will deliver a highly automated, general-use software platform to guide pharmaceutical chemists in obtaining optimal solid forms of new drug candidates intended for oral administration.

Generated 8/5/25, 3:41 AM