Variants of intrinsic disorder in the human proteome
Antonio Deiana, Andrea Giansanti

TL;DR
This study classifies human proteins based on their disorder content, revealing that proteins with disordered regions are functionally and disease-related distinct groups, with implications for understanding disease mechanisms.
Contribution
It introduces a clear operational framework for categorizing disordered proteins and analyzes their distribution and potential roles in human diseases.
Findings
IDRPs resemble NDPs in function and structure
IDPs are more associated with complex diseases like cancer and neurodegeneration
Disorder variants have distinct prevalence in disease-related proteins
Abstract
In this paper we propose a straightforward operational definition of variants of disordered proteins, taking the human proteome as a case study. The focus is on a distinction between mostly unstructured proteins and proteins which contain long unstructured regions accommodated in an overall folded structure. In particular we distinguish: i) Not disordered proteins (NDPs), that either have all their residues ordered or do not have disordered segments longer than 30 residues nor more than 30% of disordered residues; ii) Proteins with intrinsically disordered regions (IDRPs), that have at least one disordered domain longer than 30 residues, but disordered in less than 30% of their residues; iii) Proteins that are intrinsically disordered (IDPs), that have both at least one disordered segment longer than 30 residues and that are disordered on more than 30% of their residues; iv) Proteins…
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Taxonomy
TopicsAdvanced Proteomics Techniques and Applications · Machine Learning in Bioinformatics · Algorithms and Data Compression
