人工智能发现小分子抗癌药物

IF 6 2区 医学 Q1 PHARMACOLOGY & PHARMACY Expert Opinion on Drug Discovery Pub Date : 2024-06-18 DOI:10.1080/17460441.2024.2367014
Lihui Duo, Yu Liu, Jianfeng Ren, Bencan Tang, Jonathan D. Hirst
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引用次数: 0

摘要

从传统的细胞毒性化疗过渡到使用小分子抗癌药物进行癌症靶向治疗,提高了治疗效果。这种方法目前在癌症治疗中占主导地位。
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Artificial intelligence for small molecule anticancer drug discovery
The transition from conventional cytotoxic chemotherapy to targeted cancer therapy with small-molecule anticancer drugs has enhanced treatment outcomes. This approach, which now dominates cancer tr...
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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
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