Unveiling potent xanthine oxidase inhibitors in two Balanophora spp. using machine learning-based virtual screening and molecular docking approach.

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Title: Unveiling potent xanthine oxidase inhibitors in two Balanophora spp. using machine learning-based virtual screening and molecular docking approach.
Authors: An NN; VNU University of Engineering and Technology, 144 Xuan Thuy, Cau Giay, Hanoi, 100000, Vietnam., Tung DQ; Department of Computer and Systems Sciences, Stockholm University, 106 91, Stockholm, Sweden., Van Tue L; VNU University of Engineering and Technology, 144 Xuan Thuy, Cau Giay, Hanoi, 100000, Vietnam., Son NT; VNU University of Engineering and Technology, 144 Xuan Thuy, Cau Giay, Hanoi, 100000, Vietnam., Tung NT; Hanoi University of Pharmacy, 13 - 15 Le Thanh Tong, Cua Nam, Hanoi, 100000, Vietnam., Le HG; Department of Pharmacognosy and Traditional Pharmacy, School of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, 700000, Vietnam., Tam TC; Hanoi University of Pharmacy, 13 - 15 Le Thanh Tong, Cua Nam, Hanoi, 100000, Vietnam., Thuan NT; Hanoi University of Pharmacy, 13 - 15 Le Thanh Tong, Cua Nam, Hanoi, 100000, Vietnam., Baecker D; Department of Pharmaceutical and Medicinal Chemistry, Institute of Pharmacy, Freie Universität Berlin, Königin-Luise-Straße 2+4, 14195, Berlin, Germany. d.baecker@fu-berlin.de., Dung DTM; Hanoi University of Pharmacy, 13 - 15 Le Thanh Tong, Cua Nam, Hanoi, 100000, Vietnam. dungdtm@hup.edu.vn.; Unit of Computation and AI Application Research, Faculty of Pharmaceutical Chemistry and Technology , Hanoi University of Pharmacy, 13-15 Le Thanh Tong, Cua Nam, Hanoi, 100000, Vietnam. dungdtm@hup.edu.vn.
Source: Scientific reports [Sci Rep] 2025 Dec 16; Vol. 15 (1), pp. 43877. Date of Electronic Publication: 2025 Dec 16.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2045-2322
DOI:10.1038/s41598-025-32282-6