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1Academic Journal
المؤلفون: Pedro F. Oliveira, Rita C. Guedes, Andre O. Falcao
المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
مصطلحات موضوعية: In silico drug discovery, Quantitative structure-activity relationship modeling (QSAR), Structure based virtual screening, Machine learning, Protein structure, Proteo-chemometrics, Medicine, Science
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2045-2322
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2Dissertation/ Thesis
المساهمون: Ciallella, Heather L. (author), Zhu, Hao (chair), Shende, Sunil (member), Yakoby, Nir (member), Aleksunes, Lauren M (member), Rutgers University, Graduate School - Camden
مصطلحات موضوعية: Computational chemistry, Toxicology, Adverse outcome pathway, Artificial intelligence applications, Big data, Estrogen receptor, Prenatal developmental toxicity, Quantitative structure-activity relationship modeling
وصف الملف: 329 pages : illustrations; application/pdf; Supplementary File: Ciallella_dissertation_appendices_ADE.xlsx
Relation: Rutgers University Electronic Theses and Dissertations; ETD; Camden Graduate School Electronic Theses and Dissertations; rucore10005600001; http://dissertations.umi.com/graduateschool.camden.rutgers:10031
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3
المساهمون: Department of Bioinformatics
مصطلحات موضوعية: Docking, Linguistics, Semantics, Sulfur compounds, Capability description, Common languages, Drug discovery, In-silico, QSAR, Quantitative structure-activity relationship modeling, Substructure and similarity searching, Typical application
وصف الملف: 123 bytes; application/octet-stream
Relation: Proceedings of the 2009 9th IEEE International Conference on Bioinformatics and BioEngineering, BIBE 2009 :449-454; http://asiair.asia.edu.tw/ir/handle/310904400/8772; http://asiair.asia.edu.tw/ir/bitstream/310904400/8772/1/; http://asiair.asia.edu.tw/ir/bitstream/310904400/8772/2/72.doc
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