Project Grant R35GM158122
- The National Institute of General Medical Sciences (NIGMS) awarded a $410,256 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to The Leland Stanford Junior University (Stanford University). This 5-year grant, effective September 15, 2025, aims to integrate physics-based modeling with artificial intelligence to enhance conformational sampling and design of biomolecules, with a focus on understanding self-organization dynamics in biological systems away from...
- This $554,265 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) aims to develop novel machine learning (ML) and computational approaches for computer-aided drug design (CADD). The project will introduce new mathematical representations of molecular geometries using Ricci curvatures and spectral graph analysis to improve the accuracy of target-ligand binding affinity prediction in virtual screening....
- 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...
- The National Institute of General Medical Sciences (NIGMS) awarded a Project Grant totaling $1,385,226 to The Leland Stanford Junior University (Stanford University) under the Biomedical Research and Research Training program (CFDA 93.859). The grant, spanning from September 1, 2023 to August 31, 2026, will support research to map and therapeutically hijack the trafficking of extracellular proteins to the lysosome, a key cellular process involved in regulating cell surface protein function,...
- 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 $2,117,247.00 to The Leland Stanford Junior University (Stanford University) to support research on the genetic basis of complex traits from yeast to humans. The research aims to uncover the evolutionary origins of complex polygenic traits, which underlie most human diseases, by leveraging high-throughput precision genome...
- This Project Grant award of $501,000.00, provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859), supports research by The Regents of the University of California, San Francisco (UCSF) to develop simulation-based models that can more accurately interpret experimental data in structural biology. The goal is to enhance understanding of how macromolecules communicate and interact, which is vital for advancing...
- This federal Project Grant award of $462,119, granted on September 8, 2025, was provided by the National Institute of General Medical Sciences (NIGMS) under the Biomedical Research and Research Training program (CFDA 93.859). The award supports a research project led by The Leland Stanford Junior University (Stanford University) to develop a new live-cell imaging technology called "Transposon Accelerated Chromatin Kinetic Imaging Technology" (TRACK-IT). This technology aims to enable...
- 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 $350,000 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 an integrated workflow that combines computation and experimentation to efficiently expand a metabolomics-enabled drug discovery (MetD4) dataset. The primary focus is on developing neural network models to enable efficient metabolomic characterization of compound libraries, which will aid in...
- This Project Grant award of $762,636 from the National Institute on Aging (CFDA 93.866 - Aging Research) supports research by The Leland Stanford Junior University to develop interpretable machine learning (ML) methods for analyzing the genetics of Alzheimer's disease (AD). The objective is to discover causal genetic variants that could lead to new AD therapies. The work involves pairing rigorous feature selection in ML with causal inference to identify genetic variants that influence AD risk,...
This federal Project Grant award of $590,806 from the National Institute of General Medical Sciences (NIGMS) under CFDA 93.859 Biomedical Research and Research Training program supports research by the Leland Stanford Junior University (Stanford University) to advance structure-based drug discovery. The key focus areas include: Developing machine learning methods to accurately predict a chemical compound's binding affinity to drug targets, leveraging target structure and experimental binding data. Creating machine learning techniques to design drug-like ligands that bind tightly and selectively to targets, using both generative AI and iterative computation-experiment approaches. Determining the mechanisms by which drugs can selectively modulate arrestin signaling at G protein-coupled receptors (GPCRs) to achieve desired therapeutic effects without dangerous side effects. This award builds on the principal investigator's prior work in machine learning for structural biology and GPCR signaling, and involves collaboration with experimental partners to drive innovative computational research with direct impact on drug design and development.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $590.8k | 9/12/25 |