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A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC 50 Inhibition Values of FLT3 Tyrosine Kinase.

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Title: A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC 50 Inhibition Values of FLT3 Tyrosine Kinase.
Authors: Alcázar, Jackson J.1 (AUTHOR) jackson.alcazar@udd.cl, Sánchez, Ignacio1 (AUTHOR), Merino, Cristian1 (AUTHOR), Monasterio, Bruno1 (AUTHOR), Sajuria, Gaspar1 (AUTHOR), Miranda, Diego1 (AUTHOR), Díaz, Felipe1 (AUTHOR), Campodónico, Paola R.1 (AUTHOR)
Source: Pharmaceuticals (14248247). Jan2025, Vol. 18 Issue 1, p96. 18p.
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  Data: A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC 50 Inhibition Values of FLT3 Tyrosine Kinase.
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  Data: <searchLink fieldCode="JN" term="%22Pharmaceuticals+%2814248247%29%22">Pharmaceuticals (14248247)</searchLink>. Jan2025, Vol. 18 Issue 1, p96. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=182432857
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        Value: 10.3390/ph18010096
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        Text: English
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      – TitleFull: A Simple Machine Learning-Based Quantitative Structure–Activity Relationship Model for Predicting pIC 50 Inhibition Values of FLT3 Tyrosine Kinase.
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              Text: Jan2025
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