RIBOSOMALAR VA SUN’IY INTELLEKT: OQSIL SINTEZINI MODELLASHTIRISH

Kamalova Yoquthon Bahodirovna; Bahodirova Oygul O‘tkirbek qizi

doi:10.5281/zenodo.20215400

25.04.2026

Oʻzbekcha

RIBOSOMALAR VA SUN’IY INTELLEKT: OQSIL SINTEZINI MODELLASHTIRISH

Published

25.04.2026

Journal

Priority areas for applying artificial intelligence to pedagogical education

Issue

Priority areas for applying artificial intelligence to pedagogical education

Pages

634-637

DOI

10.5281/zenodo.20215400

Authors

Kamalova Yoquthon Bahodirovna , Bahodirova Oygul O‘tkirbek qizi

Abstract

Ushbu maqolada ribosomal tarjima (translation) jarayoni sun’iy intellekt yondashuvlari yordamida modellashtirilishi, uning nazariy, eksperimental va biotexnologik ahamiyati tahlil qilinadi. Mazkur yondashuv hayotning molekulyar asoslarini chuqurroq tushunish va sintetik biologiyada yangi ufqlarni ochishga xizmat qiladi.

Keywords

bioinformatika sun’iy intellekt ribosoma oqsil sintezi m-RNK sintetik biologiya Ko-transilyatsiya sun‘iy ribosoma

Other language versions

Русский

В данной статье анализируется одно из наиболее перспективных направлений современной онкологии — иммунотерапия. Цель исследования — пролить свет на механизмы борьбы иммунной системы с раковыми клетками и преимущества этого метода перед традиционными методами лечения. В статье рассматриваются принципы действия ингибиторов контрольных точек и CAR-T-клеточной терапии, а также вопросы внедрения этих инноваций в Узбекистане.

биоинформатика искусственный интеллект рибосома синтез белка мРНК синтетическая биология котрансляция искусственная рибосома

English

This article analyzes one of the most promising areas of modern oncology - immunotherapy. The purpose of the study is to shed light on the mechanisms of the immune system's fight against cancer cells and the advantages of this method over traditional treatment methods. The article discusses the principles of checkpoint inhibitors and CAR-T cell therapy, as well as the issues of introducing these innovations in Uzbekistan

artificial intelligence bioinformatics ribosome protein synthesis mRNA synthetic biology Co-translation artificial ribosome

References

1. Alberts, B., Johnson, A., Lewis, J., Morgan, D., Raff, M., Roberts, K., & Walter, P. (2022). Molecular Biology of the Cell (7th ed.). Garland Science, New York.

2. Watson, J. D., Baker, T. A., Bell, S. P., Gann, A., Levine, M., & Losick, R. (2014). Molecular Biology of the Gene (7th ed.). Pearson Education.

3. Rodnina, M. V., & Wintermeyer, W. (2016). Protein elongation, co-translational folding and targeting. Journal of Molecular Biology, 428, 2165–2185.

4. Komar, A. A. (2018). Unraveling co-translational protein folding: from biology to biotechnology. Trends in Biochemical Sciences, 43, 229–239.

5. Kamalova Y. B. Advantages Of Explanating Protein Denaturation To Students Through A Virtual Laboratory //International Conference on Global Trends and Innovations in Multidisciplinary Research. – 2025. – Т. 1. – №. 4. – С. 118-120.

6. Bahodirova O., Kamalova Y. B. Plant Adaptation Mechanisms To Climate Change //TLEP–International Journal of Multidiscipline. – 2026. – Т. 3. – №. 3. – С. 4-6.

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