Project Grant R43GM154505

Award Date 9/20/24
Completion Date 9/19/25
Dollars Obligated $350K
Federal Grant Program
93.859
Assistance Type
Project Grant
Place of Performance
San Diego, CA 92128, USA
Similar Awards
This Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), supports the development of a novel computational platform for discovering non-ribosomal peptide natural products. The $781,502 award to Chemia Biosciences, Inc., a small disadvantaged business in Pittsburgh, PA, aims to create efficient and accurate methods for identifying new natural product small molecules from complex mass...
This federal Project Grant award of $350,027 from the National Institute of General Medical Sciences (NIGMS, CFDA 93.859 Biomedical Research and Research Training) to Asko Therapeutics, Inc. is focused on developing a cost-effective, efficient, and generalizable water-based PLGA microsphere encapsulation technology for delivering commercial peptide drugs. The goal is to create a paradigm-changing, versatile, scalable, and cost-effective technology for monthly injections of peptide drugs,...
The National Institute of General Medical Sciences (NIGMS) awarded a $384,896 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to the University of Missouri System. The award will fund research to engineer peptide-based biomodulatory materials that can serve as translational platform technologies for various biomedical applications. Specific objectives include using computational and experimental techniques to develop design rules for micellar...
The National Institute of General Medical Sciences (NIGMS) awarded a $752,456 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to the University of Pittsburgh. The grant, effective September 1, 2024 through July 31, 2029, supports the development and application of innovative, user-friendly computational technologies for identifying new bioactive small molecules and improving their pharmacological properties. Key focus areas include creating a database of...
The National Institute of General Medical Sciences (NIGMS) awarded a $221,448 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to the Massachusetts Institute of Technology (MIT) to develop peptide catalysts for stereo- and site-selective C-C bond formation reactions. The research leverages automated fast-flow peptide synthesis and machine learning to design peptide catalysts containing non-natural residues that can achieve precise control over reaction...
This Project Grant award of $1,640,169 from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training program (CFDA 93.859) supports Synvivia, Inc.'s development of a platform to identify cyclic peptides that can increase the yield and quality of adeno-associated virus (AAV) vectors for gene therapy manufacturing. The key products and services to be delivered include: Demonstrating that Synvivia's cyclic peptide discovery library contains compounds that...
This Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), provides $314,363 to Delineate Inc. to develop an innovative platform that uses large language models (LLMs) to accelerate the building and repurposing of quantitative systems pharmacology (QSP) models from scientific literature. The key objectives are to: (1) develop an LLM-powered platform for efficient QSP model construction...
This $385,700 Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) will fund research at the University of Pittsburgh over a 5-year period from September 2024 to August 2029. The research aims to develop advanced computational and machine learning models that integrate diverse biomedical data, from genetics to transcriptomics and proteomics, to better predict the effects of therapies on diseased cells....
This Project Grant award from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training program (CFDA 93.859) provides $350,000 to Sinopia Biosciences Inc. to develop computational methods for predicting the metabolomic profiles of unscreened chemical compounds. The goal is to enable more efficient metabolomics-based drug discovery by combining sparse experimental screening with computational inference. Key objectives include: 1) developing methods to...
This Project Grant award of $397,829 from the National Institute on Drug Abuse (NIDA), under the federal Drug Use and Addiction Research Programs (CFDA 93.279), supports the development of an AI platform to discover new therapeutics for substance use disorders (SUDs). The key products and services to be delivered include: Creating a set of curated training datasets and machine learning (ML) models to accelerate drug discovery tasks for SUDs. Identifying mechanistic targets related to the...

This Project Grant award of $350,000.00 from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) aims to develop an artificial intelligence-based platform for optimizing peptide-based drug candidates. The key products or services to be delivered include:

  1. Methods for encoding non-canonical amino acids and cyclic peptides to enable high-performance machine learning on commercial peptide sequence, activity, stability, and permeability datasets.
  2. Techniques to assess data diversity and determine minimal dataset requirements for training predictive models.
  3. A browser-based software platform that empowers wet lab researchers to train potency models and utilize pre-trained models for predicting solubility, stability, and permeability of peptide leads.

This comprehensive platform is intended to expedite peptide-based drug development by extracting valuable insights from limited datasets and preemptively addressing common development challenges through property predictions. The award was made on September 20, 2024 with a final completion date of September 19, 2025.

Generated 7/1/25, 4:43 AM