ArticleScientific reports2020
Chasing coevolutionary signals in intrinsically disordered proteins complexes.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Low-complexity regions in fungi display functional groups and are depleted in positively charged amino acids.NAR genomics and bioinformatics · 2025Article
- Designing proteins: Mimicking natural protein sequence heterogeneity.The Journal of chemical physics · 2024Article
- From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2.Nature communications · 2024Article
- Chasing long-range evolutionary couplings in the AlphaFold era.Biopolymers · 2023Article
- Challenges in describing the conformation and dynamics of proteins with ambiguous behavior.Frontiers in molecular biosciences · 2022Article
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Authors and funding
5 authors.
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Abstract
Intrinsically disordered proteins/regions (IDPs/IDRs) are crucial components of the cell, they are highly abundant and participate ubiquitously in a wide range of biological functions, such as regulatory processes and cell signaling. Many of their important functions rely on protein interactions, by which they trigger or modulate different pathways. Sequence covariation, a powerful tool for protein contact prediction, has been applied successfully to predict protein structure and to identify protein-protein interactions mostly of globular proteins. IDPs/IDRs also mediate a plethora of protein-protein interactions, highlighting the importance of addressing sequence covariation-based inter-protein contact prediction of this class of proteins. Despite their importance, a systematic approach to analyze the covariation phenomena of intrinsically disordered proteins and their complexes is still missing. Here we carry out a comprehensive critical assessment of coevolution-based contact prediction in IDP/IDR complexes and detail the challenges and possible limitations that emerge from their analysis. We found that the coevolutionary signal is faint in most of the complexes of disordered proteins but positively correlates with the interface size and binding affinity between partners. In addition, we discuss the state-of-art methodology by biological interpretation of the results, formulate evaluation guidelines and suggest future directions of development to the field.
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