Project Grant 2409105
- The National Science Foundation (NSF) has awarded a $305,000 SBIR Phase I project grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Plexymer, Inc. for the development of an AI-directed automation system to accelerate the bioformulation of antibody therapeutics. The project aims to enable the transformation of hospital-administered antibody infusions into self-administered at-home injections by pairing laboratory robotics with artificial intelligence to...
- This SBIR Phase I award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $273,550 to Biocognon LLC for the development of a combinatorial platform to discover improved molecular recognition components for use in therapeutic and diagnostic antibodies. The project aims to utilize synthetic biology, next-generation DNA sequencing, and computational biology to efficiently generate and screen libraries of antibody...
- This $2 million cooperative agreement from the National Science Foundation will support Protabit LLC in developing artificial intelligence-enabled antibody engineering approaches to generate neutralizing antibodies against SARS-CoV-2. Funded through Jul 2022 to Jun 2024 under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084), the project aims to discover a large array of high-affinity neutralizing antibodies targeting multiple regions of the SARS-CoV-2 spike protein. This...
- 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 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 $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...
- This STTR Phase I project, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), aims to revolutionize drug discovery by accelerating molecular dynamics simulations through advanced AI techniques. The $305,000 award, granted on July 15, 2025, with a completion date of June 30, 2026, will enable Giwotech Inc. to develop a robust neural network model capable of simulating protein systems up to 500 times faster than...
- 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 SBIR Phase I project, funded by the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to develop hardware that enables the rapid and cost-effective synthesis of DNA-encoded libraries (DELs). The $294,932 award, granted to Femtofluidics Incorporated, will be used to build a device that can perform combinatorial chemistry on nanoliter to picoliter volume droplets using an electronic substrate, rather than traditional liquid-handling...
- The National Science Foundation (NSF) awarded a $275,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Foragr Medicines, Inc. for a SBIR Phase I project titled "High-Throughput Platform for Small Molecule, In-Cell Targeting of Undruggable Proteins via their mRNAs". The project aims to develop a high-throughput drug discovery platform to identify small molecule drugs that can target the mRNA of hard-to-treat diseases, including...
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 seeks to address key challenges in the drug discovery process by leveraging AI to enhance the speed and reduce the cost of identifying promising protein-based therapeutic candidates. Upon completion, the developed AI model and associated workflows will be evaluated for their ability to accelerate the identification of single-domain antibody leads.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $274.8k | 7/1/24 |