This $185,000 Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) supports fundamental research on the spatial-temporal orchestration of the START transition in budding yeast cells. The research aims to elucidate the molecular mechanisms that control the timing and synchrony of the G1/S transition, which is critical for regulating cell size and fitness. The work will employ experimental and modeling approaches to investigate...
This National Science Foundation (NSF) Biological Sciences program (CFDA 47.074) Project Grant award provides $240,000 in funding from July 1, 2024 to June 30, 2027 to support a postdoctoral research fellowship investigating the molecular mechanisms that enable adaptation of Saccharomyces cerevisiae yeast populations to complex environmental stressors. The research aims to reveal evolutionary dynamics resulting from varying levels of environmental complexity, with the goal of improving...
This $1.2 million National Science Foundation project grant, awarded under the Biological Sciences program (CFDA 47.074), will fund research at the University of North Carolina at Chapel Hill from March 2023 through February 2027 toward developing a revised model of the cell cycle that captures reversible and irreversible cell cycle arrest. The principal investigator will define the molecular mechanisms governing the transition between reversible quiescence and irreversible senescence, as well...
This National Science Foundation Project Grant of $673,524 supports research at North Carolina State University to develop a mathematical model of mitosis through the Biological Sciences program (CFDA 47.074). The model will simulate chromosome segregation and nuclear envelope shape change coordination in fission yeast mitosis. Researchers will extend an existing mitosis model to include a deformable elastic nuclear envelope integrating the spindle, chromosomes, and nuclear envelope. They will...
The National Science Foundation (NSF) awarded a $498,229 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to Yale University. The grant will fund research to develop new mathematical and machine learning techniques for analyzing complex, high-dimensional biomedical data such as single-cell sequencing and gene regulatory networks. Key research thrusts include creating data geometric features and neural network models to characterize point cloud data, preserving...
This $196,673 federal Project Grant award, funded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program, supports collaborative research at Yale University to develop a predictive framework for understanding how the physical microenvironment influences 3D genome organization and gene expression. The project will integrate super-resolution microscopy, genomics, biophysical modeling, and machine learning to decode the relationship between the...
This $592,495 Project Grant from the National Science Foundation's Division of Molecular and Cellular Biosciences under the Biological Sciences program (CFDA 47.074) will support research at Dartmouth College from February 15, 2023 to January 31, 2025. The project aims to identify the molecular pathway controlling meiotic termination in budding yeast through experiments analyzing how autophagy shapes the meiotic transcriptome and proteome at different stages of meiosis. Researchers will define...
The National Science Foundation awarded New York University a $120,000 Project Grant under the Mathematical and Physical Sciences federal grant program (CFDA 47.049) to develop a mathematical model of mitosis. The award period is from June 15, 2022 to May 31, 2026. Under the award, NYU will build on previous work modeling cell division to create a more realistic simulation of closed mitosis. Researchers will extend their model to include a deformable elastic nuclear envelope integrating the...
This $100,000 Project Grant award from the National Science Foundation's (NSF) Biological Sciences (CFDA 47.074) Federal Grant Program supports the development of deep learning-based "consistency models" to simulate the long-time-scale dynamics of protein structures. The project aims to overcome the limitations of traditional molecular dynamics (MD) simulations, which are constrained by small time steps and unable to capture crucial long-duration protein behaviors like folding and...
This federal Project Grant award of $469,500.00 from the National Institute of General Medical Sciences (NIGMS) Biomedical Research and Research Training Program (CFDA 93.859) supports research on cell-cell signaling and pattern formation in the model organism Saccharomyces cerevisiae (yeast). The primary objectives are to determine: 1) the role of signaling pathways and transcription factors in regulating differential partitioning of meiotic and feeder cells within yeast colonies in response to...