A Deep Dive into Machine Learning: The Roles of Neural Networks and Random Forests in QSPR Analysis

Machine learning has significantly improved the field of drug development by enabling the accurate prediction of physicochemical properties and biological activities of compounds. Using machine learning and topological indices to analyze a drug’s structures can make process faster and more accurate....

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Veröffentlicht in:	BioNanoScience Jg. 15; H. 1
Hauptverfasser:	Ahmed, Wakeel, Ashraf, Tamseela, AlMutairi, Dalal, Zaman, Shahid, Ahmed, Shakeel, Ehsan, Huma
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.03.2025
Schlagworte:	Biological and Medical Physics Biomaterials Biophysics Circuits and Systems Engineering Nanotechnology Random forest Python algorithm Topological indices Machine learning Artificial neural networks
ISSN:	2191-1630, 2191-1649
Online-Zugang:	Volltext
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