Literature DB >> 21493654

Proteins without 3D structure: definition, detection and beyond.

Ferenc Orosz1, Judit Ovádi.   

Abstract

MOTIVATION: Predictions, and experiments to a lesser extent, following the decoding of the human genome showed that a significant fraction of gene products do not have well-defined 3D structures. While the presence of structured domains traditionally suggested function, it was not clear what the absence of structure implied. These and many other findings initiated the extensive theoretical and experimental research into these types of proteins, commonly known as intrinsically disordered proteins (IDPs). Crucial to understanding IDPs is the evaluation of structural predictors based on different principles and trained on various datasets, which is currently the subject of active research. The view is emerging that structural disorder can be considered as a separate structural category and not simply as absence of secondary and/or tertiary structure. IDPs perform essential functions and their improper functioning is responsible for human diseases such as neurodegenerative disorders.

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Year:  2011        PMID: 21493654     DOI: 10.1093/bioinformatics/btr175

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  16 in total

1.  Evolution and functional diversification of the small heat shock protein/α-crystallin family in higher plants.

Authors:  Hernán Gabriel Bondino; Estela Marta Valle; Arjen Ten Have
Journal:  Planta       Date:  2011-12-31       Impact factor: 4.116

2.  Delving into the Characteristic Features of "Menace" Mycobacterium tuberculosis Homologs: A Structural Dynamics and Proteomics Perspectives.

Authors:  Adeniyi T Adewumi; Pritika Ramharack; Opeyemi S Soremekun; Mahmoud E S Soliman
Journal:  Protein J       Date:  2020-04       Impact factor: 2.371

3.  Identifying intrinsically disordered protein regions likely to undergo binding-induced helical transitions.

Authors:  Karen Glover; Yang Mei; Sangita C Sinha
Journal:  Biochim Biophys Acta       Date:  2016-05-11

4.  A new protein superfamily: TPPP-like proteins.

Authors:  Ferenc Orosz
Journal:  PLoS One       Date:  2012-11-14       Impact factor: 3.240

5.  DISOPRED3: precise disordered region predictions with annotated protein-binding activity.

Authors:  David T Jones; Domenico Cozzetto
Journal:  Bioinformatics       Date:  2014-11-12       Impact factor: 6.937

Review 6.  Decoding LncRNAs.

Authors:  Lidia Borkiewicz; Joanna Kalafut; Karolina Dudziak; Alicja Przybyszewska-Podstawka; Ilona Telejko
Journal:  Cancers (Basel)       Date:  2021-05-27       Impact factor: 6.639

7.  Phosphoproteomic analysis reveals major default phosphorylation sites outside long intrinsically disordered regions of Arabidopsis plasma membrane proteins.

Authors:  Claude Nespoulous; Valérie Rofidal; Nicolas Sommerer; Sonia Hem; Michel Rossignol
Journal:  Proteome Sci       Date:  2012-10-30       Impact factor: 2.480

8.  DNdisorder: predicting protein disorder using boosting and deep networks.

Authors:  Jesse Eickholt; Jianlin Cheng
Journal:  BMC Bioinformatics       Date:  2013-03-06       Impact factor: 3.169

9.  Analysis and consensus of currently available intrinsic protein disorder annotation sources in the MobiDB database.

Authors:  Tomás Di Domenico; Ian Walsh; Silvio C E Tosatto
Journal:  BMC Bioinformatics       Date:  2013-04-22       Impact factor: 3.169

10.  Sequence complexity of amyloidogenic regions in intrinsically disordered human proteins.

Authors:  Swagata Das; Uttam Pal; Supriya Das; Khyati Bagga; Anupam Roy; Arpita Mrigwani; Nakul C Maiti
Journal:  PLoS One       Date:  2014-03-03       Impact factor: 3.240

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