WEB-SERVICES FOR MICRORNA TARGET PREDICTION USING NEURAL NETWORKS

M. Aristarkhov; A. Dergilev; A. Potapova; P. Ivanov-Rostovtsev; Yuriy Orlov

doi:10.29039/rusjbpc.2023.0641

WEB-SERVICES FOR MICRORNA TARGET PREDICTION USING NEURAL NETWORKS

Published in Russian Journal of Biological Physics and Chemisrty · Pages 417–423 · Rubric: MODELLING IN BIOPHYCIS AND BIOINFORMATISC

DOI: https://doi.org/10.29039/rusjbpc.2023.0641

Received: 10.08.2023 Accepted: 06.06.2024 Published: 06.06.2024

Authors

M. Aristarkhov

A. Dergilev

A. Potapova

P. Ivanov-Rostovtsev

Yuriy Orlov

M. Aristarkhov

Sechenov University Russian Federation · Moscow

A. Dergilev

Novosibirsk State University Russian Federation · Novosibirsk

Institute of Cytology and Genetics SB RAS Russian Federation · Novosibirsk

A. Potapova

Sechenov University Russian Federation · Moscow

P. Ivanov-Rostovtsev

Sechenov University Russian Federation · Moscow

Yuriy Orlov

Academic degree: doctor of sciences in biology

Science rang: professor author.academy_titles.32

Sechenov University Russian Federation · Moscow

Institute of Cytology and Genetics SB RAS Russian Federation · Novosibirsk

Novosibirsk State University Russian Federation · Novosibirsk

ABSTRACT

The pursuit of microRNA target genes necessitates the creation of novel software and web services. MicroRNAs, abbreviated as short non-coding RNA molecules, hold a pivotal role in metabolic regulation, plant responses to environmental stress, and gene expression. Gaining insights into microRNA functions and investigating their target genes can advance drug development and address biotechnological challenges. However, the study and identification of microRNA targets within the genome present technical obstacles. MicroRNA molecules may not exhibit complete complementarity with their mRNA targets. These molecules either contribute to mRNA degradation or inhibit translation, and this process can transpire without full target complementarity. Consequently, the delineation of targets solely based on the principle of complementarity lacks unequivocal clarity. Moreover, a single microRNA molecule can correspond to multiple target genes simultaneously. The solution entails harnessing substantial datasets, employing machine learning techniques, and leveraging neural networks. In bioinformatics, neural networks serve a variety of functions, encompassing the analysis of biomedical data, diagnostics, prediction, classification, and nucleotide sequence segmentation. The pursuit and anticipation of microRNA targets through machine learning methods are currently undergoing vigorous development. A comparative assessment of contemporary neural networks for this task has been executed. A neural network-driven web service for microRNA prediction has been created. The server aspect of the service was developed using the Python programming language and the Flask library. The Mitar neural network, founded on deep learning, was employed. This network demonstrates heightened precision in predicting microRNA targets. We deliberate on the applications of miRNA prediction in gene expression analysis. Sustained research efforts are imperative to enhance the efficiency and broaden the capabilities of the developed computer system.

KEYWORDS

bioinformatics, microRNA, recognition, neural networks, medical informatics, web-service

Funding

Rabota podderzhana grantom byudzhetnym proektov ICiG SO RAN FWNR-2022-0020 "Sistemnaya biologiya i bioinformatika: rekonstrukciya, analiz i modelirovanie strukturno-funkcional'noy organizacii i evolyucii gennyh setey cheloveka, zhivotnyh, rasteniy i mikroorganizmov".

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This work is licensed under Creative Commons Attribution 4.0 International Creative Commons

GOST

Aristarkhov M. A., Dergilev A. I., Potapova A. Y., Ivanov-Rostovtsev P. A., Orlov Y. L. WEB-SERVICES FOR MICRORNA TARGET PREDICTION USING NEURAL NETWORKS // . 2024. pp. 417-423. DOI: https://doi.org/10.29039/rusjbpc.2023.0641. (Date of access 20.08.2026).

MLA

M. Aristarkhov, Dergilev A. I., Potapova A. Y., Ivanov-Rostovtsev P. A., Orlov Y. L.. "WEB-SERVICES FOR MICRORNA TARGET PREDICTION USING NEURAL NETWORKS." (2024): 417-423. DOI: https://doi.org/10.29039/rusjbpc.2023.0641.

APA

Aristarkhov M. A., Dergilev A. I., Potapova A. Y., Ivanov-Rostovtsev P. A., Orlov Y. L. (2024). WEB-SERVICES FOR MICRORNA TARGET PREDICTION USING NEURAL NETWORKS. , 417-423. https://doi.org/10.29039/rusjbpc.2023.0641

Chicago

M. Aristarkhov, Dergilev A. I., Potapova A. Y., Ivanov-Rostovtsev P. A., Orlov Y. L.. "WEB-SERVICES FOR MICRORNA TARGET PREDICTION USING NEURAL NETWORKS." , no. (2024): 417-423. https://doi.org/10.29039/rusjbpc.2023.0641.

WIKI

{{cite journal | author = Aristarkhov M. A., Dergilev A. I., Potapova A. Y., Ivanov-Rostovtsev P. A., Orlov Y. L. | title = WEB-SERVICES FOR MICRORNA TARGET PREDICTION USING NEURAL NETWORKS | journal = | year = 2024 | pages = 417-423 | doi = 10.29039/rusjbpc.2023.0641 }}

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