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The applications of machine learning in HIV neutralizing antibodies research-A systematic review.

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第一作者： Vlad-Rareş,Dănăilă

第一单位： Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, 313 Splaiul Independenţei, Bucharest 060042, Romania. Electronic address: vlad.rares.danaila@gmail.com.

作者： Vlad-Rareş,Dănăilă ^[1] ; Speranţa,Avram ^[2] ; Cătălin,Buiu ^[3]

作者单位： Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, 313 Splaiul Independenţei, Bucharest 060042, Romania. Electronic address: vlad.rares.danaila@gmail.com. ^[1] Department of Anatomy, Animal Physiology and Biophysics, Faculty of Biology, University of Bucharest, 91-95 Splaiul Independentei, Bucharest 050095, Romania. Electronic address: speranta.avram@gmail.com. ^[2] Department of Automatic Control and Systems Engineering, Politehnica University of Bucharest, 313 Splaiul Independenţei, Bucharest 060042, Romania. Electronic address: catalin.buiu@upb.ro. ^[3]

关键词 Clustering Data preprocessing Deep learning Epitope detection Feature selection Generative algorithms HIV antibody Machine learning Neural network Neutralization breadth Neutralization potency Unsupervised learning

医学主题词人类(Humans);HIV抗体(HIV Antibodies);HIV-1(HIV-1);抗体, 中和(Antibodies, Neutralizing);HIV感染(HIV Infections)

DOI 10.1016/j.artmed.2022.102429

PMID 36462896

发布时间 2025-06-23

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