Literature DB >> 29982297

Functions of short lifetime biological structures at large: the case of intrinsically disordered proteins.

Vladimir N Uversky1.   

Abstract

Although for more than a century a protein function was intimately associated with the presence of unique structure in a protein molecule, recent years witnessed a skyrocket rise of the appreciation of protein intrinsic disorder concept that emphasizes the importance of the biologically active proteins without ordered structures. In different proteins, the depth and breadth of disorder penetrance are different, generating an amusing spatiotemporal heterogeneity of intrinsically disordered proteins (IDPs) and intrinsically disordered protein region regions (IDPRs), which are typically described as highly dynamic ensembles of rapidly interconverting conformations (or a multitude of short lifetime structures). IDPs/IDPRs constitute a substantial part of protein kingdom and have unique functions complementary to functional repertoires of ordered proteins. They are recognized as interaction specialists and global controllers that play crucial roles in regulation of functions of their binding partners and in controlling large biological networks. IDPs/IDPRs are characterized by immense binding promiscuity and are able to use a broad spectrum of binding modes, often resulting in the formation of short lifetime complexes. In their turn, functions of IDPs and IDPRs are controlled by various means, such as numerous posttranslational modifications and alternative splicing. Some of the functions of IDPs/IDPRs are briefly considered in this review to shed some light on the biological roles of short-lived structures at large.
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Entities:  

Keywords:  intrinsically disordered proteins; liquid–liquid phase transitions; multifunctionality; proteinaceous membrane-less organelles; protein–protein interactions; structural heterogeneity

Year:  2020        PMID: 29982297     DOI: 10.1093/bfgp/ely023

Source DB:  PubMed          Journal:  Brief Funct Genomics        ISSN: 2041-2649            Impact factor:   4.241


  8 in total

Review 1.  Multi-functionality of proteins involved in GPCR and G protein signaling: making sense of structure-function continuum with intrinsic disorder-based proteoforms.

Authors:  Alexander V Fonin; April L Darling; Irina M Kuznetsova; Konstantin K Turoverov; Vladimir N Uversky
Journal:  Cell Mol Life Sci       Date:  2019-08-19       Impact factor: 9.261

Review 2.  The Structural and Functional Diversity of Intrinsically Disordered Regions in Transmembrane Proteins.

Authors:  Rajeswari Appadurai; Vladimir N Uversky; Anand Srivastava
Journal:  J Membr Biol       Date:  2019-05-28       Impact factor: 1.843

3.  IDPology of the living cell: intrinsic disorder in the subcellular compartments of the human cell.

Authors:  Bi Zhao; Akila Katuwawala; Vladimir N Uversky; Lukasz Kurgan
Journal:  Cell Mol Life Sci       Date:  2020-09-30       Impact factor: 9.261

4.  The Interaction Mechanism of Intrinsically Disordered PP2A Inhibitor Proteins ARPP-16 and ARPP-19 With PP2A.

Authors:  Chandan Thapa; Pekka Roivas; Tatu Haataja; Perttu Permi; Ulla Pentikäinen
Journal:  Front Mol Biosci       Date:  2021-03-26

5.  Out-of-Equilibrium Biophysical Chemistry: The Case for Multidimensional, Integrated Single-Molecule Approaches.

Authors:  Narendar Kolimi; Ashok Pabbathi; Nabanita Saikia; Feng Ding; Hugo Sanabria; Joshua Alper
Journal:  J Phys Chem B       Date:  2021-09-10       Impact factor: 3.466

6.  RNA chain length and stoichiometry govern surface tension and stability of protein-RNA condensates.

Authors:  Rabia Laghmach; Ibraheem Alshareedah; Matthew Pham; Muralikrishna Raju; Priya R Banerjee; Davit A Potoyan
Journal:  iScience       Date:  2022-03-18

Review 7.  Prediction of protein-protein interaction sites in intrinsically disordered proteins.

Authors:  Ranran Chen; Xinlu Li; Yaqing Yang; Xixi Song; Cheng Wang; Dongdong Qiao
Journal:  Front Mol Biosci       Date:  2022-09-30

8.  SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning.

Authors:  Jack Hanson; Kuldip K Paliwal; Thomas Litfin; Yaoqi Zhou
Journal:  Genomics Proteomics Bioinformatics       Date:  2020-03-13       Impact factor: 7.691

  8 in total

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