Literature DB >> 34705603

Microproteins: a 3D protein structure prediction analysis.

Kishan Thambu1, Victoria Glomb1, Rolando Hernandez Trapero1, Julio C Facelli1,2.   

Abstract

Microproteins are a novel and expanding group of small proteins encoded by less than 100-150 codons that are translated from small open reading frames (smORFs). It has been shown that smORFs and their corresponding microproteins make up a sizable fraction of the genome and proteome, but very little information on microproteins' structural features exists in the literature. In this paper, we present the results of analyzing the predicted structures of 44 microproteins. The results show that this set of microproteins have a different amino acid composition profiles, similar structural characteristics and fewer small-molecule ligand binding sites than regular proteins.Communicated by Ramaswamy H. Sarma.

Entities:  

Keywords:  Gene ontology; ligand binding sites; microproteins; protein structure; protein structure prediction

Year:  2021        PMID: 34705603      PMCID: PMC9489054          DOI: 10.1080/07391102.2021.1993343

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102            Impact factor:   5.235


  23 in total

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Review 5.  Discovery and characterization of smORF-encoded bioactive polypeptides.

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Journal:  Nat Chem Biol       Date:  2015-12       Impact factor: 15.040

6.  Critical assessment of methods of protein structure prediction (CASP)--round x.

Authors:  John Moult; Krzysztof Fidelis; Andriy Kryshtafovych; Torsten Schwede; Anna Tramontano
Journal:  Proteins       Date:  2013-12-17

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Authors:  Fran Supek; Matko Bošnjak; Nives Škunca; Tomislav Šmuc
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Authors:  Damian Szklarczyk; Andrea Franceschini; Stefan Wyder; Kristoffer Forslund; Davide Heller; Jaime Huerta-Cepas; Milan Simonovic; Alexander Roth; Alberto Santos; Kalliopi P Tsafou; Michael Kuhn; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2014-10-28       Impact factor: 16.971

9.  The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.

Authors:  Damian Szklarczyk; John H Morris; Helen Cook; Michael Kuhn; Stefan Wyder; Milan Simonovic; Alberto Santos; Nadezhda T Doncheva; Alexander Roth; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2016-10-18       Impact factor: 16.971

10.  STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.

Authors:  Damian Szklarczyk; Annika L Gable; David Lyon; Alexander Junge; Stefan Wyder; Jaime Huerta-Cepas; Milan Simonovic; Nadezhda T Doncheva; John H Morris; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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