Protein sequence analysis in the context of drug repurposing

Author:

García Sánchez Natalia,Ugarte Carro Esther,Prieto-Santamaría Lucía,Rodríguez-González Alejandro

Abstract

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.

Funder

Ministerio de Ciencia e Innovación

Publisher

Springer Science and Business Media LLC

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DRAGON: Drug Repurposing via Graph Neural Networks with Drug and Protein Embeddings as Features;2024 IEEE 37th International Symposium on Computer-Based Medical Systems (CBMS);2024-06-26

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