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药物再利用背景下的蛋白质序列分析。

Protein sequence analysis in the context of drug repurposing.

机构信息

Centro de Tecnología Biomédica, Universidad Politécnica de Madrid, Pozuelo de Alarcón, Madrid, 28223, Spain.

ETS de Ingenieros Informáticos, Universidad Politécnica de Madrid, Boadilla del Monte, Madrid, 28660, Spain.

出版信息

BMC Med Inform Decis Mak. 2024 May 13;24(1):122. doi: 10.1186/s12911-024-02531-1.

Abstract

MOTIVATION

Drug repurposing speeds up the development of new treatments, being less costly, risky, and time consuming than de novo drug discovery. There are numerous biological elements that contribute to the development of diseases and, as a result, to the repurposing of drugs.

METHODS

In this article, we analysed the potential role of protein sequences in drug repurposing scenarios. For this purpose, we embedded the protein sequences by performing four state of the art methods and validated their capacity to encapsulate essential biological information through visualization. Then, we compared the differences in sequence distance between protein-drug target pairs of drug repurposing and non - drug repurposing data. Thus, we were able to uncover patterns that define protein sequences in repurposing cases.

RESULTS

We found statistically significant sequence distance differences between protein pairs in the repurposing data and the rest of protein pairs in non-repurposing data. In this manner, we verified the potential of using numerical representations of sequences to generate repurposing hypotheses in the future.

摘要

动机

药物重定位比从头发现药物更具成本效益、风险低且耗时短,因此能加速新疗法的开发。有许多生物学因素会导致疾病的发生,从而导致药物的重新定位。

方法

在本文中,我们分析了蛋白质序列在药物重定位方案中的潜在作用。为此,我们通过执行四种最先进的方法对蛋白质序列进行了嵌入,并通过可视化验证了它们封装重要生物学信息的能力。然后,我们比较了药物重定位和非药物重定位数据中药物靶点对的蛋白质序列之间的序列距离差异。因此,我们能够发现定义重定位病例中蛋白质序列的模式。

结果

我们发现重定位数据中的蛋白质对之间的序列距离与非重定位数据中的其余蛋白质对之间存在统计学上显著的差异。通过这种方式,我们验证了将来使用序列的数值表示来生成重定位假设的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c239/11092136/f91f43c59c0f/12911_2024_2531_Fig1_HTML.jpg

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