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Tytuł pozycji:

A Web Server for Designing Molecular Switches Composed of Two Interacting RNAs.

Tytuł:
A Web Server for Designing Molecular Switches Composed of Two Interacting RNAs.
Autorzy:
Taneda A; Graduate School of Science and Technology, Hirosaki University, Hirosaki, Aomori 036-8561, Japan.
Sato K; Department of Biosciences and Informatics, Keio University, 3-14-1 Hiyoshi, Kohoku-ku, Yokohama 223-8522, Japan.
Źródło:
International journal of molecular sciences [Int J Mol Sci] 2021 Mar 08; Vol. 22 (5). Date of Electronic Publication: 2021 Mar 08.
Typ publikacji:
Journal Article
Język:
English
Imprint Name(s):
Original Publication: Basel, Switzerland : MDPI, [2000-
MeSH Terms:
Algorithms*
Computer Simulation*
RNA*/chemistry
RNA*/genetics
RNA Folding*
Sequence Analysis, RNA*
Software*
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Grant Information:
15K00392 and 18K11519 Japan Society for the Promotion of Science
Contributed Indexing:
Keywords: RNA–RNA interaction; genetic algorithm; in silico design; multi-objective optimization; secondary structure; synthetic biology
Substance Nomenclature:
63231-63-0 (RNA)
Entry Date(s):
Date Created: 20210403 Date Completed: 20210422 Latest Revision: 20210422
Update Code:
20240104
PubMed Central ID:
PMC7962656
DOI:
10.3390/ijms22052720
PMID:
33800268
Czasopismo naukowe
The programmability of RNA-RNA interactions through intermolecular base-pairing has been successfully exploited to design a variety of RNA devices that artificially regulate gene expression. An in silico design for interacting structured RNA sequences that satisfies multiple design criteria becomes a complex multi-objective problem. Although multi-objective optimization is a powerful technique that explores a vast solution space without empirical weights between design objectives, to date, no web service for multi-objective design of RNA switches that utilizes RNA-RNA interaction has been proposed. We developed a web server, which is based on a multi-objective design algorithm called MODENA, to design two interacting RNAs that form a complex in silico. By predicting the secondary structures with RactIP during the design process, we can design RNAs that form a joint secondary structure with an external pseudoknot. The energy barrier upon the complex formation is modeled by an interaction seed that is optimized in the design algorithm. We benchmarked the RNA switch design approaches (MODENA+RactIP and MODENA+RNAcofold) for the target structures based on natural RNA-RNA interactions. As a result, MODENA+RactIP showed high design performance for the benchmark datasets.

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