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人工智能在抗肥胖药物研发中的应用:开启下一代疗法。

Artificial intelligence in anti-obesity drug discovery: unlocking next-generation therapeutics.

作者信息

Gangwal Amit, Lavecchia Antonio

机构信息

Department of Natural Product Chemistry, Shri Vile Parle Kelavani Mandal's Institute of Pharmacy, Dhule 424001 Maharashtra, India.

Drug Discovery Laboratory, Department of Pharmacy, University of Naples Federico II, I-80131 Naples, Italy.

出版信息

Drug Discov Today. 2025 Apr;30(4):104333. doi: 10.1016/j.drudis.2025.104333. Epub 2025 Mar 17.

Abstract

Obesity, a multifactorial disease linked to severe health risks, requires innovative treatments beyond lifestyle changes and current medications. Existing anti-obesity drugs face limitations regarding efficacy, side effects, weight regain and high costs. Artificial intelligence (AI) is emerging as a pivotal tool in drug discovery, expediting the identification of novel drug candidates and optimizing treatment strategies. This review examines AI's potential in developing next-generation anti-obesity therapeutics, with a focus on glucagon-like peptide-1 receptor agonists (GLP-1 RAs) and their role in discovering anti-obesity peptides. Additionally, it explores integration challenges and offers future perspectives on leveraging AI to reshape the landscape of anti-obesity drug discovery.

摘要

肥胖是一种与严重健康风险相关的多因素疾病,需要超越生活方式改变和现有药物的创新治疗方法。现有的抗肥胖药物在疗效、副作用、体重反弹和高成本方面存在局限性。人工智能(AI)正在成为药物研发中的关键工具,加速新型候选药物的识别并优化治疗策略。本综述探讨了人工智能在开发下一代抗肥胖疗法方面的潜力,重点关注胰高血糖素样肽-1受体激动剂(GLP-1 RAs)及其在发现抗肥胖肽中的作用。此外,还探讨了整合挑战,并就利用人工智能重塑抗肥胖药物研发格局提供了未来展望。

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