Skip to the ledger

GrantClerk

NSF award 2533077 · University of California-Berkeley

BioMADE: Development of genomic language models to predict optimal genomes for commercial protein production

Final report due

29 December 2027

in 437 days · The award ends on 31 August 2027.

GrantClerk is a private service. We are not NSF or any government agency.

Dates this award owes

NSF emails you about this too.

  • Decide about an extension3 May 2027in 197 days

    award ending 2027-08-31 · Research.gov

  • Extension request17 Jul 2027in 272 days

    award ending 2027-08-31 · Research.gov

  • No-cost extension notice21 Aug 2027in 307 days

    award ending 2027-08-31 · Research.gov

  • Final report due29 Dec 2027in 437 days

    award ending 2027-08-31 · Research.gov

  • Project outcomes report due29 Dec 2027in 437 days

    award ending 2027-08-31 · Research.gov

  • Award is closed out29 Dec 2027in 437 days

    award ending 2027-08-31 · Research.gov

Annual report dates come from the budget period on your award notice. That date is not public, so it is not shown here.

How we got this date

  1. NSF lists this award's end date as 31 August 2027.
  2. NSF rules say the final report is due no later than 120 days after that.
  3. So the final report is due by 29 December 2027.

Read the rule on Research.gov

Get a note before each report date

Add this award to your desk. We email you before each date and keep the dates in one place.

Renews each year until you cancel. Cancel any time from your account.

Already a member? Sign in

Award card

Award number
2533077
Period of support
1 Sep 2025 – 31 Aug 2027
Amount
$449,999
Awardee
University of California-Berkeley, Berkeley, CA
Program
Cellular & Biochem Engineering, Cross-BIO Activities, Systems and Synthetic Biology
Directorate
ENG

Abstract

Microbes are being used to produce a range of products. Some of those products are proteins, such as insulin or blood-clotting factors. In many cases, fungal strains are used because they have protein secretion systems. However, the secretion systems are not optimized for throughput, so strain improvement is needed. To facilitate this process, AI methods will be employed to develop a digital model that emulates most…

Is this right?

We copy this from the public NSF award record. Your award notice and NSF always win. If a date looks wrong, check Research.gov.