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Updated: Apr 8, 2026
09:33
Methods to Classify Cytoplasmic Foci as Mammalian Stress Granules
Published on: May 12, 2017
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A composition-matching algorithm, MatchIDR, identifies prion-like domains that localize to stress granules
Sean M Cascarina1, Kacy R Paul1, Larissa L Ford1
1Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, Colorado, USA.
Protein Science : a Publication of the Protein Society
|April 7, 2026
Summary
Intrinsically disordered regions (IDRs) are crucial for cellular functions. A new algorithm, MatchIDR, identifies IDRs by compositional similarity, predicting their cellular localization and function.
Area of Science:
- Biochemistry
- Molecular Biology
- Bioinformatics
Background:
- Intrinsically disordered regions (IDRs) lack stable structures but perform vital cellular roles.
- IDRs exhibit skewed amino acid compositions, favoring polar and charged residues, which influences their biophysical properties and activity.
- The specific amino acid enrichment dictates the relationship between composition and IDR activity.
Purpose of the Study:
- To develop a novel search algorithm, MatchIDR, for identifying intrinsically disordered regions (IDRs) based on sequence composition.
- To validate MatchIDR's efficacy in predicting the in vivo behavior of IDRs by assessing their localization to yeast stress granules.
Main Methods:
- Developed MatchIDR, a search algorithm that takes IDR sequences as input to find compositional matches within a proteome.
- Utilized MatchIDR with both artificial and native yeast IDR sequences as queries.
- Tested the algorithm's ability to predict IDR localization to yeast stress granules.
Main Results:
- MatchIDR successfully identified IDRs from various organisms with similar compositional and predicted in vivo activities to the query sequences.
- The algorithm accurately predicted the localization (or lack thereof) of identified IDRs to yeast stress granules, aligning with known functions.
- Composition-based proteome searches proved effective for discovering novel IDRs with predictable cellular activities.
Conclusions:
- Composition-based proteome searches are a viable strategy for identifying intrinsically disordered regions (IDRs) with predictable in vivo functions.
- MatchIDR provides a powerful tool for exploring the functional landscape of IDRs across different proteomes.
- Understanding IDR composition is key to predicting their molecular roles and cellular behavior.
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