Computational Identification and Illustrative Standard for Representation of Unimolecular G-Quadruplex Secondary Structures (CIIS-GQ).


Journal

Journal of computer-aided molecular design
ISSN: 1573-4951
Titre abrégé: J Comput Aided Mol Des
Pays: Netherlands
ID NLM: 8710425

Informations de publication

Date de publication:
29 Oct 2024
Historique:
received: 10 06 2024
accepted: 30 08 2024
medline: 29 10 2024
pubmed: 29 10 2024
entrez: 29 10 2024
Statut: epublish

Résumé

G-quadruplexes refer to a large group of nucleic acid-based structures. In recent years, they have been attracting attention due to their biological roles in the telomeres and promoter regions. These structures show wide diversity in topology, however, development of methods for structural classification of G-quadruplexes has been evaded for a long time. There has been a limited number of studies aiming to bring forth a secondary structure classification method. The situation was even more complex than imagined, since the discovery of bulged and mismatched G-quadruplexes while most of the available tools fail to distinguish these non-canonical G-quadruplex motifs. Moreover, the interpretation of their analysis output still requires expert knowledge. In this study, we propose a new method for identification of unimolecular G-Quadruplexes and classification by secondary structures based on three-dimensional structural data. Briefly, coordinates of guanines are processed to identify tetrads, loops and bulges. Then, we present the secondary structure in the form of a depiction which shows the loop types, bulges, and guanines that participate in each tetrad. Moreover, CIIS-GQ identifies non-guanine nucleotides that joins the G-tetrads and forms multiplets. Finally, the results of our study are compared with DSSR and ElTetrado classification methods, and the advantages of the proposed depiction method for representing secondary structures were discussed. The source code of the method can be accessed via https://github.com/TugayDirek/CIIS-GQ .

Identifiants

pubmed: 39470927
doi: 10.1007/s10822-024-00573-1
pii: 10.1007/s10822-024-00573-1
doi:

Substances chimiques

Guanine 5Z93L87A1R
DNA 9007-49-2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

35

Subventions

Organisme : Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
ID : 216S854

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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Auteurs

Tugay Direk (T)

Department of Software Engineering, Izmir University of Economics, İzmir, Turkey.

Osman Doluca (O)

Department of Biomedical Engineering, Izmir University of Economics, İzmir, Turkey. osman.doluca@ieu.edu.tr.

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