Insights into computer-aided G-quadruplex prediction in the digital age

IF 2.6 4区 医学 Q3 CHEMISTRY, MEDICINAL Medicinal Chemistry Research Pub Date : 2024-08-28 DOI:10.1007/s00044-024-03302-3
Pulakesh Pramanik, Santanu Bhattacharya
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Abstract

G-quadruplexes are four-stranded non-canonical secondary structures formed by G-rich DNA and RNA sequences. They are structurally diverse and found to regulate several biological processes including DNA replication, gene transcription, and translation. The diverse role of these structures is associated with several diseases such as cancer, aging, and neurological disorders. In addition, they have emerged as a potential therapeutic target specifically in the context of drug discovery of cancer disease. Because of its significant implications in cellular biology, scientists have given excessive efforts to locate G4 regions at the genomic level through experimental sequencing procedures as well as computational methods over the last few years. The prediction of active G4 regions as well as their stability by computational methods has facilitated the drug discovery processes. In this brief report, the technological advancement in computer-aided G-quadruplex prediction has been highlighted.

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数字时代计算机辅助 G-四链路预测的启示
G 型四联体是由富含 G 的 DNA 和 RNA 序列形成的四链非正则二级结构。它们在结构上多种多样,可调节 DNA 复制、基因转录和翻译等多个生物过程。这些结构的不同作用与癌症、衰老和神经系统疾病等多种疾病有关。此外,它们已成为癌症药物研发中的潜在治疗靶点。由于其在细胞生物学中的重要意义,科学家们在过去几年中通过实验测序程序和计算方法,在基因组水平上对 G4 区域进行了大量的定位工作。通过计算方法预测活性 G4 区域及其稳定性为药物发现过程提供了便利。在这份简短的报告中,重点介绍了计算机辅助 G 型四叠体预测方面的技术进步。
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来源期刊
Medicinal Chemistry Research
Medicinal Chemistry Research 医学-医药化学
CiteScore
4.70
自引率
3.80%
发文量
162
审稿时长
5.0 months
期刊介绍: Medicinal Chemistry Research (MCRE) publishes papers on a wide range of topics, favoring research with significant, new, and up-to-date information. Although the journal has a demanding peer review process, MCRE still boasts rapid publication, due in part, to the length of the submissions. The journal publishes significant research on various topics, many of which emphasize the structure-activity relationships of molecular biology.
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