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Key points to succeed in Artificial Intelligence drug discovery projects

Perron, Quentin ; da Silva, Vinicius Barros Ribeiro ; Atwood, Brian ; [weitere]

Walter de Gruyter GmbH ; 2022

In: Chemistry International Vol. 44, No. 1 ( 2022-01-01), p. 19-21

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In: Chemistry International, Walter de Gruyter GmbH, Vol. 44, No. 1 ( 2022-01-01), p. 19-21

Kurzfassung: Drug discovery and development is an expensive, complex, and time-consuming task [5]. Recently, the development of artificial intelligence (AI) approaches to drug discovery, specifically de novo drug design through the use of deep generative models, has triggered a lot of interest in the drug hunter community, especially as an important tool to speed up the process [6].

Materialart: Online-Ressource

ISSN: 1365-2192 , 0193-6484

URL: Article

DOI: 10.1515/ci-2022-0106

RVK:

VA 3554

Sprache: Englisch

Verlag: Walter de Gruyter GmbH

Publikationsdatum: 2022

ZDB Id: 2053571-5