NATIVE-ID project to study protein dysfunction with machine learning
Brown University said the seven-institution NATIVE-ID research project is supported by a federal grant of up to $28.6 million. Brown’s role carries an approximately $1 million sub-award within the project led by Berkeley’s Innovative Genomics Institute.
Source review period: 2026-10-16
Published: · Updated:
The source does not state the event date; the period shown is the source review period.
Researchers aim to analyse protein variants in living human cells and build machine-learning tools to model protein misfolding and aggregation. The initial focus is frontotemporal lobar degeneration; the announcement does not report a new treatment, completed model or clinical success.
Data
Research funding
NATIVE-ID total grant and Brown sub-award
- Total federal grant ceiling
- ≤28,600,000 USD
- 2026-10-15 · Target
- Brown sub-award
- ≈1,000,000 USD
- 2026-10-15 · Target
Methodology
Funding amounts announced by the university, not expenditure. Brown’s share is part of the total, not additional. Date denotes the source announcement.
Updated:
Subjects and places
Subject proposals
- Artificial intelligenceSuggested
- Subject suggested from the title or summary: machine learningwww.brown.edu ↗
Geographic references
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- United States · Place role: Coverage · Place type: Country or area · Location precision: RegionalEvidence
- Explicit preserved editorial country/region; no city or national centroid inferredwww.brown.edu ↗