DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction-Reference-Cited by-同舟云学术

DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction

Published:2022-03 Issue: Volume:142 Page:105214
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Zhang Peiliang,Wei Ziqi,Che Chao^ORCID,Jin Bo

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference47 articles.

1. Convolutional neural network with stacked autoencoders for predicting drug-target interaction and binding affinity;Bahi;Int. J. Data Min. Model. Manag.,2021

2. Virtual screen for ligands of orphan g protein-coupled receptors;Bock;J. Chem. Inf. Model.,2005

3. Random forests;Breiman;Mach. Learn.,2001

4. Minimum free energy coding for dna storage;Cao;IEEE Trans. NanoBioscience,2021

5. Pharmacological inhibition of acid sphingomyelinase prevents uptake of sars-cov-2 by epithelial cells;Carpinteiro;Cell Reports Medicine,2020

Cited by 47 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A pseudo-label supervised graph fusion attention network for drug–target interaction prediction;Expert Systems with Applications;2025-01

2. PHCDTI: A multichannel parallel high-order feature crossover model for DTIs prediction;Expert Systems with Applications;2024-12

3. DeFuseDTI: Interpretable drug target interaction prediction model with dual-branch encoder and multiview fusion;Future Generation Computer Systems;2024-12

4. OSGAN: Omni-scale and Global-aware ECG arrhythmia diagnostic network;Biomedical Signal Processing and Control;2024-10

5. HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction;Chemometrics and Intelligent Laboratory Systems;2024-10