Integrating bioinformatics, machine learning and molecular biology to elucidate the anti-allergic mechanisms of ginkgo biloba leaves.

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Bibliographic Details
Title: Integrating bioinformatics, machine learning and molecular biology to elucidate the anti-allergic mechanisms of ginkgo biloba leaves.
Authors: Ren Y; School of Biomedicine, Beijing City University, Beijing 100094, China., Wu M; School of Biomedicine, Beijing City University, Beijing 100094, China., Liu K; Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China., Zhang L; School of Biomedicine, Beijing City University, Beijing 100094, China., Zhang Y; Key Laboratory of TCM-information Engineer of State Administration of TCM, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China. Electronic address: zhangyanling@bucm.edu.cn., Qin W; School of Biomedicine, Beijing City University, Beijing 100094, China. Electronic address: qwbingbing2025@163.com.
Source: Computational biology and chemistry [Comput Biol Chem] 2026 Aug; Vol. 123, pp. 109017. Date of Electronic Publication: 2026 Mar 19.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 101157394 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-928X (Electronic) Linking ISSN: 14769271 NLM ISO Abbreviation: Comput Biol Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-928X
DOI:10.1016/j.compbiolchem.2026.109017