NSF award 2601736 · University of Missouri-Columbia

Deep Comparative Learning for Estimating Protein Structural Model Accuracy

Final report due

28 November 2029

in 1,137 days · The award ends on 31 July 2029.

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award ending 2029-07-31 · Research.gov
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Final report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due28 Nov 2029in 1137 days
award ending 2029-07-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out28 Nov 2029in 1137 days
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PAPPG 24-1: “financially closed out 120 days after their expiration date”

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NSF lists this award's end date as 31 July 2029.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 28 November 2029.

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Award card

Award number: 2601736
Period of support: 15 Aug 2026 – 31 Jul 2029
Amount: $631,195
Awardee: University of Missouri-Columbia, Columbia, MO
Program: Innovation: Bioinformatics
Directorate: BIO

Abstract

Recent development of AI-based methods and tools can predict the three-dimensional structures of proteins with unprecedented accuracy, transforming biological sciences and biotechnology research. However, scientists often generate multiple structural models for the same protein and lack reliable tools to determine which predictions are most accurate. Inaccurate model selection can limit the usefulness of protein…

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