A Robust Drug–Target Interaction Prediction Framework with Capsule Network and Transfer Learning

A Robust Drug–Target Interaction Prediction Framework with Capsule Network and Transfer Learning

Drug–target interactions (DTIs) are considered a crucial component of drug design and drug discovery. To date, many computational methods were developed for drug–target interactions, but they are insufficiently informative for accurately predicting DTIs due to the lack of experimentally verified neg...

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Bibliographic Details
Main Authors: Yixian Huang, Hsi-Yuan Huang, Yigang Chen, Yang-Chi-Dung Lin, Lantian Yao, Tianxiu Lin, Junlin Leng, Yuan Chang, Yuntian Zhang, Zihao Zhu, Kun Ma, Yeong-Nan Cheng, Tzong-Yi Lee, Hsien-Da Huang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:International Journal of Molecular Sciences
Subjects:
drug–target interactions
bidirectional encoder representations from transformers
transfer learning
message-passing neural networks
capsule network
Online Access:https://www.mdpi.com/1422-0067/24/18/14061

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https://www.mdpi.com/1422-0067/24/18/14061

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