Cryptic amyloidogenic regions in intrinsically disordered proteins: Function and disease association

被引:11
|
作者
Santos, Jaime
Pallares, Irantzu
Iglesias, Valentin
Ventura, Salvador
机构
[1] Univ Autonoma Barcelona, Inst Biotecnol & Biomed, Barcelona, Spain
[2] Univ Autonoma Barcelona, Dept Bioquim & Biol Mol, Barcelona, Spain
来源
关键词
Amyloid; Aggregation; Protein disorder; Intrinsically disordered proteins; Protein-protein interactions; Evolution; MUTANT P53; C-FOS; NEURODEGENERATIVE DISEASES; COMPUTATIONAL PREDICTION; TETRAMERIZATION DOMAIN; AGGREGATION PROPERTIES; EXPRESSION PATTERNS; APC GENE; FACES; CANCER;
D O I
10.1016/j.csbj.2021.07.019
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
The amyloid conformation is considered a fundamental state of proteins and the propensity to populate it a generic property of polypeptides. Multiple proteome-wide analyses addressed the presence of amyloidogenic regions in proteins, nurturing our understanding of their nature and biological implications. However, these analyses focused on highly aggregation-prone and hydrophobic stretches that are only marginally found in intrinsically disordered regions (IDRs). Here, we explore the prevalence of cryptic amyloidogenic regions (CARs) of polar nature in IDRs. CARs are widespread in IDRs and associated with IDPs function, with particular involvement in protein-protein interactions, but their presence is also connected to a risk of malfunction. By exploring this function/malfunction dichotomy, we speculate that ancestral CARs might have evolved into functional interacting regions playing a significant role in protein evolution at the origins of life. (C) 2021 The Author(s). Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.
引用
收藏
页码:4192 / 4206
页数:15
相关论文
共 50 条
  • [21] Do sequence neighbours of intrinsically disordered regions promote structural flexibility in intrinsically disordered proteins?
    Basu, Sushmita
    Bahadur, Ranjit Prasad
    JOURNAL OF STRUCTURAL BIOLOGY, 2020, 209 (02)
  • [22] Protein kinases phosphorylate long disordered regions in intrinsically disordered proteins
    Koike, Ryotaro
    Amano, Mutsuki
    Kaibuchi, Kozo
    Ota, Motonori
    PROTEIN SCIENCE, 2020, 29 (02) : 564 - 571
  • [23] Non-specific porins of Gram-negative bacteria as proteins containing intrinsically disordered regions with amyloidogenic potential
    Novikovaa, Olga D.
    Vladimir, N. Uverskyb C.
    Zelepugaa, Elena A.
    DANCING PROTEIN CLOUDS: INTRINSICALLY DISORDERED PROTEINS IN THE NORM AND PATHOLOGY, PT C, 2021, 183 : 75 - 99
  • [24] Compositional Bias of Intrinsically Disordered Proteins and Regions and Their Predictions
    Zhao, Bi
    Kurgan, Lukasz
    BIOMOLECULES, 2022, 12 (07)
  • [25] Intrinsically disordered proteins/regions and insight into their biomolecular interactions
    Chakrabarti, Pinak
    Chakravarty, Devlina
    BIOPHYSICAL CHEMISTRY, 2022, 283
  • [26] Prediction of the Disordered Regions of Intrinsically Disordered Proteins Based on the Molecular Functions
    Xie, WeiXia
    Feng, Yong E.
    PROTEIN AND PEPTIDE LETTERS, 2020, 27 (04): : 279 - 286
  • [27] Analysis of structured and intrinsically disordered regions of transmembrane proteins
    Xue, Bin
    Li, Liwei
    Meroueh, Samy O.
    Uversky, Vladimir N.
    Dunker, A. Keith
    MOLECULAR BIOSYSTEMS, 2009, 5 (12) : 1688 - 1702
  • [28] Conformational and Spectroscopic Characterization of Intrinsically Disordered Regions in Proteins
    Sethi, Anurag
    Vu, Dung
    Gnanakaran, S.
    BIOPHYSICAL JOURNAL, 2011, 100 (03) : 13 - 13
  • [29] Water in Amyloidogenic Intrinsically Disordered Proteins: Interplay of Conformational Preference and Amyloid Aggregation
    Arya, Shruti
    Mukhopadhyay, Samrat
    BIOPHYSICAL JOURNAL, 2016, 110 (03) : 398A - 398A
  • [30] Disordered Function Conjunction: On the in-silico function annotation of intrinsically disordered regions
    Ghadermarzi, Sina
    Katuwawala, Akila
    Oldfield, Christopher J.
    Barik, Amita
    Kurgan, Lukasz
    PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, 2020, : 171 - 182