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Dr. Hong has a wide spectrum of research interests, including chemoinformatics, computational chemistry, next-generation sequencing data analysis, genome-wide association studies, proteomics, and systems biology. His current research goals are to generate safety signatures of drugs for the treatment of COVID-19 patients via big data analytics and artificial intelligence, and to identify candidate polypharmacy drugs for repurposing for COVID-19 treatment through computational chemistry approaches. Additionally, he is looking to construct an androgenic-activity database to enhance the endocrine disruptor knowledge base and to develop a knowledge base for management of opioid agonist and antagonist activities of chemicals. Dr. Hong is also working to develop predictive models using a variety of machine learning and deep learning algorithms to assist in the safety evaluation of FDA-regulated products.
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论文共 283 篇作者统计合作学者相似作者
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Zoe Kiy,Juliane Chaud, Liang Xu, Eric Brandhorst, Tschackad Kamali,Carolyn Vargas,Sandro Keller,Huixiao Hong,Alexandre Specht,Sidney Cambridge
Angewandte Chemie (International ed. in English)no. 9 (2024): e202317675-e202317675
NANOMATERIALSno. 2 (2024): 155
Biomoleculesno. 1 (2024): 72
Elsevier eBookspp.235-243, (2023)
Computational Methods in Engineering and the Sciencespp.V-VII, (2023)
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EXPERIMENTAL BIOLOGY AND MEDICINEno. 21 (2023): 1918-1926
Elsevier eBookspp.315-327, (2023)
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Computational Methods in Engineering and the Sciencespp.243-262, (2023)
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