Advancing Drug-Target Interaction prediction with BERT and subsequence embedding-Reference-Cited by-同舟云学术

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Advancing Drug-Target Interaction prediction with BERT and subsequence embedding

Published:2024-06 Issue: Volume:110 Page:108058
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Yang Zhihui,Liu Juan^ORCID,Yang Feng,Zhang Xiaolei,Zhang Qiang,Zhu Xuekai,Jiang Peng

Publisher

Elsevier BV

Reference45 articles.

1. Interpretable bilinear attention network with domain adaptation improves drug–target prediction;Bai;Nat. Mach. Intell.,2023

2. Elucidating the druggable interface of protein- protein interactions using fragment docking and coevolutionary analysis;Bai;Proc. Natl. Acad. Sci.,2016

3. ProteinBERT: A universal deep-learning model of protein sequence and function;Brandes;Bioinformatics,2022

4. High-throughput screening for drug discovery;Broach;Nature,1996

5. Propy: a tool to generate various modes of Chou’s PseAAC;Cao;Bioinformatics,2013

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