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Structure–activity modeling and hybrid machine learning-based prediction of bioactivity in pyrazole derivatives for drug discovery applications.

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Title: Structure–activity modeling and hybrid machine learning-based prediction of bioactivity in pyrazole derivatives for drug discovery applications.
Authors: ŞAHİN, Kader1,2 kadersahin@bandirma.edu.tr, KILIÇARSLAN, Serhat3, DURDAĞI, Serdar2,4,5,6, SARIPINAR, Emin7
Source: Turkish Journal of Biology. 2026, Vol. 50 Issue 1, p37-61. 26p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Turkish+Journal+of+Biology%22">Turkish Journal of Biology</searchLink>. 2026, Vol. 50 Issue 1, p37-61. 26p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.55730/1300-0152.2789
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      – Code: eng
        Text: English
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        PageCount: 26
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      – TitleFull: Structure–activity modeling and hybrid machine learning-based prediction of bioactivity in pyrazole derivatives for drug discovery applications.
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              Text: 2026
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              Y: 2026
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              Value: 50
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