未来展望：利用人工智能的力量生成新的多肽药物。

IF 4.8 2区生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Biomolecules Pub Date : 2024-10-15 DOI:10.3390/biom14101303

Nour Nissan, Mitchell C Allen, David Sabatino, Kyle K Biggar

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引用次数: 0

摘要

广阔的药物发现领域一直在寻求创新方法，以确定和开发新型肽类治疗药物。随着人工智能（AI）的出现，新的多肽药物的产生发生了转变。人工智能提供了一系列计算工具和算法，使研究人员能够加快多肽治疗管道的发展。这篇综述探讨了当前人工智能在多肽药物发现中的应用情况，重点介绍了其潜力、挑战和伦理考虑因素。此外，它还介绍了案例研究和未来展望，展示了人工智能对多肽新药研发的影响。

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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Future Perspective: Harnessing the Power of Artificial Intelligence in the Generation of New Peptide Drugs.

The expansive field of drug discovery is continually seeking innovative approaches to identify and develop novel peptide-based therapeutics. With the advent of artificial intelligence (AI), there has been a transformative shift in the generation of new peptide drugs. AI offers a range of computational tools and algorithms that enables researchers to accelerate the therapeutic peptide pipeline. This review explores the current landscape of AI applications in peptide drug discovery, highlighting its potential, challenges, and ethical considerations. Additionally, it presents case studies and future prospectives that demonstrate the impact of AI on the generation of new peptide drugs.

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来源期刊

Biomolecules Biochemistry, Genetics and Molecular Biology-Molecular Biology

CiteScore

9.40

自引率

3.60%

发文量

1640

审稿时长

18.28 days

期刊介绍： Biomolecules (ISSN 2218-273X) is an international, peer-reviewed open access journal focusing on biogenic substances and their biological functions, structures, interactions with other molecules, and their microenvironment as well as biological systems. Biomolecules publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.