Proceedings for Annual Meeting of The Japanese Pharmacological Society
Online ISSN : 2435-4953
The 92nd Annual Meeting of the Japanese Pharmacological Society
Session ID : 92_3-CS4-3
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Company-Organized Symposium
Deep Learning for Drug Discovery
*Ryuuitirou Ishitani
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CONFERENCE PROCEEDINGS OPEN ACCESS

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Abstract

Deep learning has dramatically improved in recent years and has achieved breakthrough results in image recognition, speech recognition, machine control, anomaly detection, etc. In the field of biotechnology and life science, deep learning is widely used. Deep learning is a promising technology in the field of biotechnology and life sciences for its ability to extract useful features in its process of learning, achieve multi-modal and multi-task learning naturally, and successfully handle data on genomic sequence, low molecular weight compounds, and protein, which are of varying size. In this presentation, we will introduce the latest applications of deep learning and explain how deep learning can be used in the process of drug discovery.

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