Microproteins: a 3D protein structure prediction analysis.

Gene ontology ligand binding sites microproteins protein structure protein structure prediction

Journal

Journal of biomolecular structure & dynamics
ISSN: 1538-0254
Titre abrégé: J Biomol Struct Dyn
Pays: England
ID NLM: 8404176

Informations de publication

Date de publication:
2022
Historique:
pubmed: 28 10 2021
medline: 29 12 2022
entrez: 27 10 2021
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 34705603
doi: 10.1080/07391102.2021.1993343
pmc: PMC9489054
mid: NIHMS1834954
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

13738-13746

Subventions

Organisme : NCATS NIH HHS
ID : UL1 TR001067
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002538
Pays : United States

Auteurs

Kishan Thambu (K)

Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT, USA.

Victoria Glomb (V)

Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT, USA.

Rolando Hernandez Trapero (R)

Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT, USA.

Julio C Facelli (JC)

Department of Biomedical Informatics, The University of Utah, Salt Lake City, UT, USA.
Clinical and Translational Science Institute, The University of Utah, Salt Lake City, UT, USA.

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Classifications MeSH