Application of Deep Learning and Molecular Modelling Methods to Identify Potential HIV-1 Entry Inhibitors

Autor:	Alexander V. Tuzikov, I.P. Bosko, A.I. Anischenko, G.I. Nikolaev, A.M. Andrianov, N.A. Shuldov
Rok vydání:	2020
Předmět:	Computer science Modelling methods business.industry Deep learning Human immunodeficiency virus (HIV) medicine Artificial intelligence Machine learning computer.software_genre medicine.disease_cause business computer
Zdroj:	Proceedings of the International Conference "Mathematical Biology and Bioinformatics".
ISSN:	2618-9305
DOI:	10.17537/icmbb20.6
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::086dae4dce8f1600910404dfb1d822a7 https://doi.org/10.17537/icmbb20.6 Zobrazit plný text záznamu