[Development of drug discovery support system using chemoinformatics and generative AI technology].

Atsushi Yoshimori
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引用次数: 0

Abstract

In recent years, the rapid development of generative AI has given rise to a variety of services such as machine translation, sentence summarization, and programming code generation. In drug discovery, generative AI and chemoinformatics have been used for seed/lead compound generation and optimization, and several successful cases were reported. The use of AI technology in drug discovery is expected to solve previously difficult problems and dramatically improve success rate in drug discovery. ITM, Inc. is a venture company established in 2004 to support drug discovery in silico using original chemoinformatics technology. Currently, ITM is developing a drug discovery support system that combines state-of-the-art AI technology and chemoinformatics technology. This paper introduces ITM's technology with a focus on the use of generative AI.

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[利用化学信息学和生成式人工智能技术开发药物发现支持系统]。
近年来,生成式人工智能的快速发展催生了机器翻译、句子摘要、编程代码生成等多种服务。在药物发现中,生成式人工智能和化学信息学已被用于种子/先导化合物的生成和优化,并有几个成功的案例报道。人工智能技术在药物发现中的应用有望解决以前的难题,并大大提高药物发现的成功率。ITM, Inc.是一家成立于2004年的风险投资公司,支持使用原始化学信息学技术在计算机上进行药物发现。目前,ITM正在开发结合最先进的人工智能技术和化学信息学技术的药物发现支持系统。本文介绍了ITM的技术,重点介绍了生成式人工智能的使用。
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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来源期刊
Folia Pharmacologica Japonica
Folia Pharmacologica Japonica Pharmacology, Toxicology and Pharmaceutics-Pharmacology
CiteScore
0.40
自引率
0.00%
发文量
132
期刊最新文献
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