The Division of Molecular and Cellular Biosciences along with the Divisions Chemistry, Physics, and Mathematical Sciences in the Directorate for Mathematical And Physical Sciences (MPS); Information and Intelligent Systems in the Directorate for Computer and Information Sciences and Engineering (CISE); and Chemical, and Bioengineering Environmental and Transport Systems in the Directorate for Engineering (ENG) have announced the release of the FY 2022 Molecular Foundations for Biotechnology (MFB) solicitation (NSF 22-554).
The MFB program invites the submission of proposals to develop fundamentally new approaches in molecular sciences to drive new directions in biotechnology. This year’s solicitation calls for synergistic research collaborations that involve innovative machine learning (ML) and Artificial Intelligence (AI) methods to foster advances in research in biomolecular systems that have the potential to drive innovation in biotechnology.
This past year we have seen how machine learning can tremendously accelerate scientific progress and potentially transform the nature of research in the physical and life sciences with the prediction of protein structure from its sequence, a goal that drew the efforts of physical and life scientists for decades. Novel, domain-situated ML and AI approaches have the potential to advance our understanding of biological macromolecules, their assemblies, and their processes. This solicitation seeks to catalyze synergistic and innovative work at the interface of ML/AI and the biological, physical, and mathematical sciences and engineering that goes beyond sequence-structure relationships and addresses standing challenges in biology. The funded research should have potential implications for biotechnology.
Letters of intent (required) are due Feb. 14, 2022. The full proposal deadline is April 14, 2022.
If you would like further information about this solicitation, please visit NSF 22-554.