Hydrogen-centric machine learning approach for analyzing properties of tricyclic anti-depressant drugs

IntroductionTricyclic anti-depressant (TCA) drugs are widely used to treat depression, but traditional methods for evaluating their physicochemical properties can be time-consuming and costly. This study examines how topological indices can help to predict the properties of TCA drugs, with a special...

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Bibliographic Details

Published in:	Frontiers in Chemistry
Main Authors:	Simran Kour, J. Ravi Sankar
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-06-01
Subjects:	tricyclic anti-depressant drugs topological indices QSPR linear regression support vector regression
Online Access:	https://www.frontiersin.org/articles/10.3389/fchem.2025.1603948/full