Project Grant R35GM160468
- The federal Project Grant award of $120,711 from the National Institute of General Medical Sciences (NIGMS) under CFDA 93.859 Biomedical Research and Research Training program aims to predict and validate druggable hyperreactive cysteines located within protein-protein interaction (PPI) interfaces. The project at the University of Texas Southwestern Medical Center seeks to develop an artificial intelligence-powered predictor for cysteine reactivity and identify reactive cysteines on human PPI...
- This federal Project Grant award of $1,968,575.00 from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), is focused on developing computational approaches and machine learning methods to predict DNA-binding specificities for transcription factor proteins and the functional effects of genetic variants within proteins. The overarching goal is to gain a predictive understanding of proteins, their interactions,...
- This Project Grant award of $894,785.00 from the National Science Foundation (NSF) Biological Sciences (CFDA 47.074) program will enable the development of an integrated experimental and computational platform to accelerate the discovery of protein-protein interactions (PPIs). The platform will combine an algorithmically optimized pooling scheme, immunopurification-mass spectrometry, and a novel sparse signal reconstruction algorithm to transform the PPI mapping problem into a more efficient...
- This Project Grant award for $1,440,905, awarded on September 1, 2025 by the National Institute of Environmental Health Sciences, funds research to develop improved computational methods for predicting protein-protein interactions (PPIs). The project aims to create complementary approaches that can accurately predict both stable and transient PPIs, including those involving peptide-binding domains and post-translational modifications - areas that are challenging for existing PPI prediction tools...
- 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 research to develop new chemical strategies for controlling the conformation of bioactive peptides and proteins. The $385,671 award, effective from September 1, 2025 to August 31, 2030, aims to synthesize and evaluate novel amino acid analogs that can influence the secondary structures of peptides and proteins, with the goal...
- This Project Grant award from the National Institute of General Medical Sciences (NIGMS), under CFDA 93.859 Biomedical Research and Research Training, provides $585,000.00 to the University of Texas at Dallas to pursue innovative strategies and platforms for (a) discovering 'natural product'-like macrocyclic peptides as modulators of biomolecular interactions, and (b) developing biocatalytic strategies for asymmetric synthesis via 'new-to-nature' chemistries. The project builds upon prior...
- This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) will fund a $540,000 research project at Northwestern University to measure the global folding stability and folding energy landscapes for 3 million protein sequences. The project aims to create a large dataset quantifying these properties, which have historically been challenging to investigate at scale. This data will empower...
- 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 $202,274 to develop an easy-to-use computer program for predicting the structure and degrading efficiency of proteolysis targeting chimeras (PROTACs). PROTACs are heterobifunctional molecules that induce the degradation of target proteins by recruiting them to E3 ubiquitin ligases. The awarded project aims to implement a...
- This Project Grant award of $404,032 from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), aims to develop a machine learning-powered platform for the discovery of peptide ligands for peptide-drug conjugates (PDCs). The key objective is to create a next-generation peptide discovery system capable of identifying PDC leads within 3 months. The platform will utilize a peptide array designed for enhanced protease...
- This federal Project Grant award of $460,740.00 was provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859) to Yale University. The project aims to develop novel quantitative experimental and computational methods for studying continuous phenotypic transitions in cellular states, with applications across ovarian aging, cardiovascular disease, and hormone-dependent cancers. Key objectives include using...
This federal Project Grant award from the National Institute of General Medical Sciences (NIGMS), under the Biomedical Research and Research Training program (CFDA 93.859), provides $431,800 to The University of Texas Southwestern Medical Center (UT Southwestern) to develop enhanced pipelines for proteome-wide protein-protein interaction (PPI) screening in humans. The project aims to leverage breakthroughs in protein structure prediction using deep learning and extensive genomic data to uncover novel interactions, particularly those involving weak and transient interactions mediated by short linear motifs. The research efforts will transform the methods for proteome-wide PPI screening in humans by utilizing vast genomic sequence data and adapting advanced deep learning networks. This 5-year project, running from August 1, 2025 to July 31, 2030, represents a significant investment by NIGMS to advance the fundamental understanding of the human interactome and its implications for disease diagnosis and treatment.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $431.8k | 7/31/25 |