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Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations.

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Title: Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations.
Authors: Acosta-Murillo, Raúl1 (AUTHOR), Ortiz-Bayliss, José Carlos2 (AUTHOR), Zapata-Morin, Patricio Adrian1 (AUTHOR) patricio.zapatamor@uanl.edu.mx
Source: PLoS ONE. 3/17/2026, Vol. 21 Issue 3, p1-29. 29p.
Database: Academic Search Ultimate
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  Data: Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations.
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  Data: <searchLink fieldCode="AR" term="%22Acosta-Murillo%2C+Raúl%22">Acosta-Murillo, Raúl</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ortiz-Bayliss%2C+José+Carlos%22">Ortiz-Bayliss, José Carlos</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zapata-Morin%2C+Patricio+Adrian%22">Zapata-Morin, Patricio Adrian</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> patricio.zapatamor@uanl.edu.mx</i>
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 3/17/2026, Vol. 21 Issue 3, p1-29. 29p.
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        Value: 10.1371/journal.pone.0343654
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        Text: English
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      – TitleFull: Enhancing cancer drug discovery: QSAR modeling with machine learning and chemical representations.
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              Text: 3/17/2026
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