AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules

AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules

<b>Background/Objectives:</b> Inflammation serves as a vital response to diverse harmful stimuli like infections, toxins, or tissue injuries, aiding in the elimination of pathogens and tissue repair. However, persistent inflammation can lead to chronic diseases. Peptide therapeutics have...

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Bibliographic Details
Main Authors:	Subathra Selvam, Priya Dharshini Balaji, Honglae Sohn, Thirumurthy Madhavan
Format:	Article
Language:	English
Published:	MDPI AG 2024-12-01
Series:	Pharmaceuticals
Subjects:	anti-inflammatory autoimmune disease small molecules machine learning k-fold cross-validation
Online Access:	https://www.mdpi.com/1424-8247/17/12/1693
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