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AI創薬の現状と未来

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Today and future of AI-based drug development

Yasushi Okuno

Dept. of Biomed. Data Intelligence, Grad.Sch. of Med., Kyoto Univ.

In recent years, artificial intelligence (AI) has been attracting attention as a technology that discovers knowledge and creates new value from big data that is increasing in all fields. In the fields of drug discovery and life sciences as well, various AI researches using a wide variety of and enormous amounts of big data are being developed, and it is expected that the AIs will dramatically improve the efficiency of drug development.

We have been also developing artificial intelligence and machine learning technologies for drug discovery, for example AIs for target biomolecules identification and for drug screening and optimization. Furthermore, in November 2016, we established the Life Intelligence Consortium (LINC), which aims to develop pharmaceutical AIs in collaboration with academia and pharmaceutical and IT companies. LINC has developed about 30 types of AI technologies from upstream to downstream of drug development.

In my talk, I would like to introduce our research of AIs for drug development and discuss the impact of AI on the pharmaceutical industry. 近年、あらゆる分野において爆発的に増大し続けるビッグデータから知識発見や新たな価値を創造する科学技術と して、人工知能（AI）が注目されている。創薬・生命科学分野においても、基礎研究や臨床現場で日々生まれる多 種多様かつ膨大なデータを用いた様々なAI研究がなされており、これによる医薬品開発の劇的効率化が期待されて いる。 演者は、これまでに人工知能・機械学習技術の創薬応用に着手してきており、創薬標的生体分子の探索や薬剤のス クリーニング・最適化を行うAIの研究開発を行ってきた。また、2016年11月に、アカデミアと製薬企業・IT企業が 連携し、創薬AI開発を目指す「ライフ・インテリジェンス・コンソーシアム（LINC）」を立ち上げた。LINCで は、医薬品開発の上流から下流（病態解明、創薬標的探索、薬剤設計、前臨床、臨床、市販後）にいたる約30種類 のAI技術の開発を行ってきた。 本講演では、演者が取り組む創薬AIの具体的な研究事例を紹介するとともに、AIがもたらす医薬品産業へのインパ クトについて議論したい。

Special Lecture3

Copyright ©2021 The Japanese Pharmacological Society

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