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AIM in Pharmacology and Drug Discovery

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Artificial Intelligence in Medicine

Abstract

Pharmaceutical products are researched and developed through many stages: target search, hit search, hit to lead, lead optimization, and preclinical and clinical trials, all of which have a complex, expensive, and time-consuming process and a low overall success rate. Therefore, there is a need to reduce research and development costs by increasing the probability of success and improving process efficiency. One of the most promising approaches to this problem is the so-called in silico drug discovery, i.e., drug discovery using information technology such as artificial intelligence (AI) and molecular simulation. In this chapter, we describe the development and application of AI in drug discovery.

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Authors and Affiliations

  1. Department of Biomedical Data Intelligence, Graduate School of Medicine, Kyoto University, Kyoto, Japan

    Hiroaki Iwata, Ryosuke Kojima & Yasushi Okuno

Authors
  1. Hiroaki Iwata
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  2. Ryosuke Kojima
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  3. Yasushi Okuno
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Corresponding author

Correspondence to Yasushi Okuno .

Editor information

Editors and Affiliations

  1. Karolinska Institute, Stockholm, Sweden

    Niklas Lidströmer

  2. Faculty of Medicine, Imperial College London, London, UK

    Hutan Ashrafian

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Iwata, H., Kojima, R., Okuno, Y. (2021). AIM in Pharmacology and Drug Discovery. In: Lidströmer, N., Ashrafian, H. (eds) Artificial Intelligence in Medicine. Springer, Cham. https://doi.org/10.1007/978-3-030-58080-3_145-1

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  • DOI: https://doi.org/10.1007/978-3-030-58080-3_145-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58080-3

  • Online ISBN: 978-3-030-58080-3

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