SOURCE-LINKED INTELLIGENCE
Integrating novel data, artificial intelligence and molecular behaviour to expand functional characterization of intrinsically disordered proteins
Integrating novel data, artificial intelligence and molecular behaviour to expand functional characterization of intrinsically disordered proteins Nearly two decades ago, the unveiling of intrinsically disordered proteins/regions (IDPs/IDRs) disrupted the longstanding structure-function paradigm, challenging the notion that well-defined native protein structures are indispensable for function. IDPs possess the unique ability to sample ensembles of different three dimensional conformations, leading to transition pathways that have a crucial role in various unique molecular functions. However, despite their importance, our understanding of IDPs is limited due to the challenges of studying such dynamic and large molecular systems experimentally, relegating their characterization to computational methods. Although the recent breakthrough in artificial intelligence (AI)-based protein structure prediction methods has
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 1656000
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.