Generative artificial intelligence based models optimization towards molecule design enhancement.

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Bibliographic Details
Title: Generative artificial intelligence based models optimization towards molecule design enhancement.
Authors: Khater T; Department of Biomedical Engineering and Biotechnology, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates., Alkhatib SA; Department of Biomedical Engineering and Biotechnology, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.; Center for Catalysis and Separations (CeCaS), Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates., AlShehhi A; Department of Biomedical Engineering and Biotechnology, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates., Pitsalidis C; Department of Physics, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.; Biotechnology Research Center (BTC), Technology Innovation Institute, PO Box 9639, Abu Dhabi, United Arab Emirates.; Advanced Research and Innovation Center (ARIC), Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates., Pappa AM; Department of Biomedical Engineering and Biotechnology, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.; Center for Catalysis and Separations (CeCaS), Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates.; Biotechnology Research Center (BTC), Technology Innovation Institute, PO Box 9639, Abu Dhabi, United Arab Emirates., Ngo ST; Laboratory of Biophysics, Institute for Advanced Study in Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam., Chan V; Department of Biomedical Engineering and Biotechnology, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates. Vincent.chan@ku.ae.ac., Truong VK; Department of Biomedical Engineering and Biotechnology, Khalifa University, P.O. Box 127788, Abu Dhabi, United Arab Emirates. Vikhanh.truong@ku.ac.ae.
Source: Journal of cheminformatics [J Cheminform] 2025 Aug 04; Vol. 17 (1), pp. 116. Date of Electronic Publication: 2025 Aug 04.
Publication Type: Journal Article; Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101516718 Publication Model: Electronic Cited Medium: Print ISSN: 1758-2946 (Print) Linking ISSN: 17582946 NLM ISO Abbreviation: J Cheminform Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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