Prediction of drug–target binding affinity using similarity-based convolutional neural network

Abstract Identifying novel drug–target interactions (DTIs) plays an important role in drug discovery. Most of the computational methods developed for predicting DTIs use binary classification, whose goal is to determine whether or not a drug–target (DT) pair interacts. However, it is more meaningful...

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Bibliographic Details
Main Authors: Jooyong Shim, Zhen-Yu Hong, Insuk Sohn, Changha Hwang
Format: Article
Language:English
Published: Nature Publishing Group 2021-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-83679-y