Predicting drug protein interactions based on improved support vector data description in unbalanced data

Introduction: Predicting drug-protein interactions is critical in drug discovery, but traditional laboratory methods are expensive and time-consuming. Computational approaches, especially those leveraging machine learning, are increasingly popular. This paper introduces VASVDD, a multi-step method t...

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Bibliographic Details
Main Authors:	Alireza Khorramfard, Jamshid Pirgazi, Ali Ghanbari Sorkhi
Format:	Article
Language:	English
Published:	Tabriz University of Medical Sciences 2024-12-01
Series:	BioImpacts
Subjects:	drug-protein interaction support vector data deep learning variational autoencoder unbalanced data
Online Access:	https://bi.tbzmed.ac.ir/PDF/bi-15-30468.pdf
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Predicting drug protein interactions based on improved support vector data description in unbalanced data

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