Artificial intelligence in drug development: present status and future prospects

被引：408

作者：

Mak, Kit-Kay ^{[1
,2
]}

Pichika, Mallikarjuna Rao ^{[2
,3
]}

机构：

[1] Int Med Univ, Sch Postgrad Studies & Res, Kuala Lumpur, Malaysia

[2] Int Med Univ, Sch Pharm, Dept Pharmaceut Chem, Kuala Lumpur, Malaysia

[3] Int Med Univ, IRDI, Ctr Bioact Mol & Drug Delivery, Kuala Lumpur, Malaysia

来源：

DRUG DISCOVERY TODAY | 2019年 / 24卷 / 03期

关键词：

PHARMACOLOGICAL-PROPERTIES; DEEP; GENERATION; DISCOVERY; DESIGN; TARGET; IDENTIFICATION; PRINCIPLES; REDUCE; HIT;

D O I：

10.1016/j.drudis.2018.11.014

中图分类号：

R9 [药学];

学科分类号：

1007 ;

摘要：

Artificial intelligence (AI) uses personified knowledge and learns from the solutions it produces to address not only specific but also complex problems. Remarkable improvements in computational power coupled with advancements in AI technology could be utilised to revolutionise the drug development process. At present, the pharmaceutical industry is facing challenges in sustaining their drug development programmes because of increased R&D costs and reduced efficiency. In this review, we discuss the major causes of attrition rates in new drug approvals, the possible ways that AI can improve the efficiency of the drug development process and collaboration of pharmaceutical industry giants with AI-powered drug discovery firms.

引用

页码：773 / 780

页数：8

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