Treffer: A deep drug prediction framework for viral infectious diseases using an optimizer-based ensemble of convolutional neural network: COVID-19 as a case study.

A deep drug prediction framework for viral infectious diseases using an optimizer-based ensemble of convolutional neural network: COVID-19 as a case study.

Aruna AS; Dept. of Information Technology, Government Engineering College Palakkad, APJ Abdul Kalam Technological University, Palakkad, Kerala, 678633, India. aruna.arathi@gmail.com.; Department of Computer Science, College of Engineering Vadakara, Kozhikode, Kerala, 673105, India. aruna.arathi@gmail.com., Babu KRR; Dept. of Information Technology, Government Engineering College Palakkad, APJ Abdul Kalam Technological University, Palakkad, Kerala, 678633, India., Deepthi K; Department of Computer Science, Central University of Kerala (Govt. of India), Kasaragod, Kerala, 671320, India.

Molecular diversity [Mol Divers] 2025 Jun; Vol. 29 (3), pp. 2473-2487. Date of Electronic Publication: 2024 Oct 09.

Journal Article

English

Publisher: ESCOM Science Publishers Country of Publication: Netherlands NLM ID: 9516534 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-501X (Electronic) Linking ISSN: 13811991 NLM ISO Abbreviation: Mol Divers Subsets: MEDLINE

Original Publication: Leiden, The Netherlands : ESCOM Science Publishers, c1995-

Antiviral Agents*/therapeutic use , Antiviral Agents*/chemistry , Antiviral Agents*/pharmacology , Convolutional Neural Networks* , Drug Discovery*/methods , Drug Repositioning*/methods, Humans ; Algorithms ; COVID-19 Drug Treatment ; Deep Learning ; Neural Networks, Computer ; Pandemics ; SARS-CoV-2/drug effects

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Keywords: COVID-19; Convolutional neural network; Deep forest; Drug repurposing; Genetic algorithm

0 (Antiviral Agents)

Date Created: 20241008 Date Completed: 20250515 Latest Revision: 20250527

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