EventsMOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published
This submission belongs to the session 01. CHEMBIO.INFO-07: Cheminfo., Chemom., Comput. Chem. & Bioinfo. Congress München, GR-Cambridge, UK-Ch. Hill, USA, 2021. of the event MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed.
Published date
29 Jul, 2021
Academic Editor
author-avatarHumbert G. Díaz
Citation
Laura Acosta, Aliuska Duardo Sanches, Denyse Hernández-Morales, Opinion on the use of artificial intelligence in drug design, in Proceedings of MOL2NET'21, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 7th ed., 25 January–30 December 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-07-10708
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Opinion on the use of artificial intelligence in drug design

Denyse Hernández-Morales 3,4
1. Faculty of Informatics, Universidad de A Coruña (UDC), A Coruña, Spain., Spain
2. Department of Public Law, Law and the Human Genome Research Group, University of The Basque Country UPV/EHU, 48940, Leioa, Biscay, Spain.
3. IKERDATA S.L., ZITEK, UPV/EHU, Rectorate uilding, 48940, Leioa, Biscay, Spain.
4. Faculty of Pharmacy, Central University of Las Villas (UCLV), 50300, Santa Clara, Cuba.
Abstract

Abstract

Artificial intelligence (AI) techniques play an important role in drug development. In the work published by Gerhard Hessler and Karl-Heinz Baringhaus in Journal Lis tMolecules vol.23 (10); 2018 makes an analysis on the subject. There are techniques that have largely developed this field, such as artificial neural networks, deep neural networks or recurrent networks. In recent years, various applications have been developed in predictions of properties or activities, such as physicochemical properties and ADMET, which demonstrate the importance of this technology in quantitative structure-property relationships (QSPR) or quantitative structure-activity relationships (QSAR). The use of artificial intelligence in de novo design generates the creation of new biologically active molecules that have the desired properties. There are numerous examples that demonstrate the importance of artificial intelligence in drug development. In the near future, computers are expected to discover more and more drugs in an automated way.

Keywords
artificial intelligence
de novo design
neural networks
property prediction
Manuscript
Poster
IA drug discov opinion.pdf
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