This National Science Foundation project grant of $248,782 awarded on March 15, 2022 will fund the development of computational tools and a database for understanding intrinsically disordered protein-protein and protein-nucleic acid interactions through February 28, 2025. Funded under the Biological Sciences program (CFDA 47.074), Purdue University will create three interlocking computational methods at the 1D, 2D, and 3D levels to advance prediction and modeling of tertiary structures for...
Virginia Commonwealth University was awarded a $500,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research to develop integrated prediction of intrinsic disorder and disorder functions using modular multi-label deep learning. The project aims to advance computational methods for characterizing intrinsically...
This federal Project Grant award from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) provides $125,896 to Western Washington University to conduct research on intrinsically disordered proteins (IDPs). The project aims to bridge time and length scales of IDP conformations and assemblies using advanced computational methods. Key goals include characterizing the conformational landscape of IDPs, elucidating factors leading to phase separation, and developing...
This federal Project Grant award of $337,949 from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) supports research to comprehensively classify and predict the function of intrinsically disordered protein regions. The University of Texas Southwestern Medical Center, the prime grantee, will use computational methods to categorize the modular sequence organization of disordered protein regions across different organisms....
This National Science Foundation Project Grant of $536,946 will support research at the University of California, San Diego from September 2022 through August 2025 under the Mathematical and Physical Sciences program (CFDA 47.049). The award will fund the development of rigorous scientific theories and powerful computational tools to model biomolecular interactions. Researchers will design advanced numerical methods to simulate drug and protein binding/unbinding kinetics, incorporating molecular...
This Project Grant award of $150,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of deep learning-based consistency models to enable more efficient and long-duration molecular dynamics simulations of protein dynamics. The key products of this 2-year project, which runs from August 2025 to July 2027, include: Developing prototype consistency models trained on molecular dynamics trajectories...
This $795,135 Project Grant from the National Science Foundation's Biological Sciences program (CFDA 47.074) supports research at the University of Illinois on protein dynamics under extreme environmental conditions. The four-year award beginning June 1, 2022 will fund three related subprojects investigating how proteins adapt to enable organism survival in stressful environments like heat, pressure and dehydration. The research will study intrinsically disordered protein structure and...
This $448,150 Project Grant awarded by the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) aims to develop a DNA-based toolbox for the rapid and precise modulation of cell membrane protein-protein interactions (PPIs). The goal is to establish a modular approach using antibodies and aptamers to enable targeted DNA barcoding of cell membrane proteins, particularly receptor tyrosine kinases. This will allow for the controlled stabilization of specific PPI pairs on living...
The National Science Foundation awarded a $673,715 project grant to The University of North Carolina at Charlotte under the Biological Sciences federal grant program (CFDA 47.074) for the period of May 1, 2021 through April 30, 2024. The grant funds the "IIBR INFORMATICS: ACCURATE ASSESSMENT OF PROTEIN-DNA COMPLEX MODELS AND APPLICATIONS" project. This project aims to advance scientific knowledge and understanding of major problems in the biological sciences, as outlined in the program...
This Project Grant award of $100,000.00 from the National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) supports the development of deep learning-based consistency models to enable more efficient and accurate molecular dynamics (MD) simulations of protein dynamics over long time scales. The key objectives are to: Develop prototype consistency models trained on MD trajectories of simplified protein systems like polyalanine peptides. Optimize the model architecture and...