A Novel Autoencoder-Based Feature Selection Method for Drug-Target Interaction Prediction with Human-Interpretable Feature Weights

A Novel Autoencoder-Based Feature Selection Method for Drug-Target Interaction Prediction with Human-Interpretable Feature Weights

Drug-target interaction prediction provides important information that could be exploited for drug discovery, drug design, and drug repurposing. Chemogenomic approaches for predicting drug-target interaction assume that similar receptors bind to similar ligands. Capturing this similarity in so-calle...

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Bibliographic Details
Main Authors: Gozde Ozsert Yigit, Cesur Baransel
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Symmetry
Subjects:
drug-target interaction prediction
autoencoder
multi-layer perceptron
dimensionality reduction
feature selection
DrugBank
Online Access:https://www.mdpi.com/2073-8994/15/1/192

Internet

https://www.mdpi.com/2073-8994/15/1/192

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