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...
The National Science Foundation (NSF) awarded a $2,686,207 Cooperative Agreement under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) to the University of California, Santa Barbara (UCSB) to develop and optimize enzymes for converting plant-derived biomass into value-added biofuels, lubricants, and surfactants. The project employs advanced computational and experimental approaches, including artificial intelligence (AI) and machine learning, to enhance the activity,...
This $485,752 Project Grant from the National Science Foundation's Engineering program (CFDA 47.041) supports collaborative research to develop a data-driven approach to microreaction engineering guided by autonomous robotic experimentation. Key products and services include the creation of an interdisciplinary knowledge framework to accelerate mechanistic reaction studies and synthesis process development for emerging materials and molecules with multi-stage chemistries. Researchers will...
This two-year, $200,000 Project Grant from the National Science Foundation's Division of Chemical, Bioengineering, Environmental, and Transport Systems will fund research at the Long Beach Research Foundation to develop multi-activity proteins for improved carbohydrate deconstruction. Specifically, the Foundation will produce and test 85 engineered multi-activity proteins containing two catalytic domains each. These proteins aim to increase biomass conversion for alternative fuels and...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant, awarded to Syracuse University, addresses the challenge of oxidative scission of biomass-derived ketone compounds to produce commodity chemicals. The $205,311 award, with a period of performance from April 2024 to March 2027, aims to provide a quantitative, mechanistic understanding of the catalytic process to enhance the selectivity and yield of desired products while minimizing undesired combustion...
The University of North Carolina at Chapel Hill will receive $495,000 from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) to support research into designing artificial enzymes from June 2022 to May 2025. Dr. Albert Bowers and his team will develop a generalizable strategy for separating substrate binding and catalysis functions into distinct domains for peptide-based enzymes. They will use computational protein design with Rosetta to create...
Rutgers, The State University received a $360,000 Project Grant award from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems to develop new methods for tailored nanomaterials synthesis. Specifically, the three-year award funds research using reactive microdroplets in confined 2D microflows to produce high-quality nanoparticles with controlled size, composition, crystallinity and other properties. The project aims to address current gaps...
This Project Grant award of $408,007 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) aims to develop a technology called "glycosequencing" that uses next-generation sequencing (NGS) to sequence and quantify glycan structures. The project will first identify an optimal set of lectins, biochemically characterize them, and prepare lectin barcoding for NGS. It will also build a training dataset using recombinant proteins produced in glycoengineered Chinese...
North Carolina State University will receive $751,968 over three years from the National Science Foundation Division of Chemical, Bioengineering, Environmental, and Transport Systems under the Engineering federal grant program (CFDA 47.041) to develop a data-driven approach to accelerate materials and molecule design through autonomous robotic experimentation. The university will create a modular artificial intelligence framework to guide multi-stage chemical synthesis of emerging materials...
This National Science Foundation (NSF) Project Grant award under the Engineering program (CFDA 47.041) provides $269,542 to Rutgers, The State University to develop a combined numerical-experimental approach for understanding and modeling the synthesis of large populations of advanced nanomaterials. The key products and services include: In-situ environmental transmission electron microscopy (E-TEM) measurements to study the population behavior and spatial dynamics of metal oxide reduction,...