Machine learning trims the peptide drug design process to a sweet spot

IF 19.2 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Nature chemistry Pub Date : 2024-08-16 DOI:10.1038/s41557-024-01610-0

Chloe E. Markey, Daniel Reker

引用次数: 0

Abstract

Drugs that target peptide hormone receptors are of great interest in the treatment of type 2 diabetes. In spite of limited data and vast design spaces, a bespoke computational pipeline has designed peptides that target two receptors with high potency.

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机器学习将多肽药物设计过程缩减至最佳状态

靶向肽类激素受体的药物在治疗 2 型糖尿病方面具有重大意义。尽管数据有限，设计空间巨大，但一个定制的计算管道已经设计出了针对两种受体的高效力多肽。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature chemistry 化学-化学综合

CiteScore

29.60

自引率

1.40%

发文量

226

审稿时长

1.7 months

期刊介绍： Nature Chemistry is a monthly journal that publishes groundbreaking and significant research in all areas of chemistry. It covers traditional subjects such as analytical, inorganic, organic, and physical chemistry, as well as a wide range of other topics including catalysis, computational and theoretical chemistry, and environmental chemistry. The journal also features interdisciplinary research at the interface of chemistry with biology, materials science, nanotechnology, and physics. Manuscripts detailing such multidisciplinary work are encouraged, as long as the central theme pertains to chemistry. Aside from primary research, Nature Chemistry publishes review articles, news and views, research highlights from other journals, commentaries, book reviews, correspondence, and analysis of the broader chemical landscape. It also addresses crucial issues related to education, funding, policy, intellectual property, and the societal impact of chemistry. Nature Chemistry is dedicated to ensuring the highest standards of original research through a fair and rigorous review process. It offers authors maximum visibility for their papers, access to a broad readership, exceptional copy editing and production standards, rapid publication, and independence from academic societies and other vested interests. Overall, Nature Chemistry aims to be the authoritative voice of the global chemical community.