NSF award 2437949 · Rutgers University New Brunswick

Collaborative Research: Chemical Speciation of Metals in Cyanobacteria: Testing Artificial Intelligence Predictions with X-ray Absorption Spectroscopy

Final report due

29 December 2028

in 803 days · The award ends on 31 August 2028.

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award ending 2028-08-31 · Research.gov
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Extension request17 Jul 2028in 638 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least 45 days prior to the end date”
No-cost extension notice21 Aug 2028in 673 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “at least ten calendar days prior to the end date”
Final report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120-days following the end date of the award”
Project outcomes report due29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
PAPPG 24-1: “no later than 120 days following the end date”
Award is closed out29 Dec 2028in 803 days
award ending 2028-08-31 · Research.gov
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 August 2028.
NSF rules say the final report is due no later than 120 days after that.
So the final report is due by 29 December 2028.

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Award card

Award number: 2437949
Period of support: 1 Sep 2025 – 31 Aug 2028
Amount: $249,960
Awardee: Rutgers University New Brunswick, NEW Brunswick, NJ
Program: LET-Life & Enviro Through Time
Directorate: GEO

Abstract

This project is using artificial intelligence (AI) to better understand how metals are used by cyanobacteria, the most abundant group of organisms to have ever existed in Earth history. Metals are essential for life and are held tightly by proteins inside of cyanobacterial cells. AlphaFold is a powerful AI tool that can predict the shapes of these proteins and how they hold onto metals. So far, these predictions…

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