Project Grant 2433490
Award Date
8/1/25
Completion Date
7/31/29
Dollars Obligated
$981K
Funding Federal Agency
National Science Foundation
Awarding Federal Agency
Division of Biological Infrastructure
Awardee
Purdue University (YRXVL4JYCEF5)
Federal Grant Program
47.074
Assistance Type
Project Grant
Place of Performance
West Lafayette, IN, USA
Similar Awards
Purdue University was awarded a $399,459 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program to develop computational methods for the systematic identification of unknown biomolecular structures from cryo-electron tomography images. Over a three-year period ending in September 2025, the university will create an automated computational pipeline integrating novel techniques for fast subtomogram alignment, shape searching against...
The National Institute of General Medical Sciences (NIGMS) awarded a $395,455 Project Grant under the Biomedical Research and Research Training program (CFDA 93.859) to Purdue University. The grant, effective August 1, 2025 through July 31, 2030, will support the development and application of computational methods for biomolecular structural modeling of cryo-electron microscopy (cryo-EM) data. Key objectives include enhancing structure modeling capabilities to improve accuracy and efficiency,...
This Project Grant award from the National Science Foundation (CFDA 47.070 Computer and Information Science and Engineering) to Georgia Southern University Research & Service Foundation Inc. provides $174,984 to develop a new artificial intelligence-based computational framework that leverages advanced image processing and deep learning techniques to improve the accuracy of modeling protein structures from medium-resolution cryo-electron microscopy (cryo-EM) data. The goal is to enhance...
This three-year Project Grant from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) provides $164,000 to Purdue University to develop integrated moment-based descriptors and deep neural networks for screening three-dimensional biological data. The researchers will extend mathematical moments to encompass fractional-order moment descriptors, providing a more accurate representation of 3D images. They will integrate the new moment-based approach into a...
This $100,000 Project Grant awarded by the National Science Foundation (NSF) under the Biological Sciences (CFDA 47.074) program aims to accelerate protein engineering through the integration of cutting-edge artificial intelligence (AI) methods and advanced laboratory automation. The primary objectives are to develop new AI techniques tailored to the unique challenges of protein engineering, and to leverage these AI capabilities to guide the design and discovery of functional proteins with...
This Project Grant award of $233,332 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program will support collaborative research to accelerate protein engineering using evolution-guided generative AI and an automated biofoundry. The research aims to combine cutting-edge AI methods with advanced laboratory automation to greatly speed up the discovery of new proteins with enhanced properties, offering significant potential impact across...
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 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...
The National Science Foundation Division of Information and Intelligent Systems awarded Indiana University a $113,029 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports research that will integrate deep learning and high-throughput experimentation to engineer proteins for non-native enzyme catalysis. Researchers will develop artificial intelligence models to interpret experimental data and guide iterative protein design. Two classes...
This Project Grant award from the National Science Foundation (CFDA 47.049 - Mathematical and Physical Sciences) provides $529,999 in funding to Purdue University from June 15, 2023 to May 31, 2026. The award supports the development of advanced theories and methods for computer simulation of electronic structure of molecules and materials, with the goal of enabling highly accurate prediction of properties and interpretation of experiments for these systems. The key products and services to be...