Drug-Target Interaction Prediction: End-to-End Deep Learning Approach-Reference-Cited by-同舟云学术

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Drug-Target Interaction Prediction: End-to-End Deep Learning Approach

Published:2021-11-01 Issue:6 Volume:18 Page:2364-2374
ISSN:1545-5963
Container-title:IEEE/ACM Transactions on Computational Biology and Bioinformatics
language:
Short-container-title:IEEE/ACM Trans. Comput. Biol. and Bioinf.

Author:

Monteiro Nelson R. C.^ORCID,Ribeiro Bernardete^ORCID,Arrais Joel P.^ORCID

Funder

Portuguese Research Agency FCT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Genetics,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/8857/9642421/09018013.pdf?arnumber=9018013

Cited by 38 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. HEnsem_DTIs: A heterogeneous ensemble learning model for drug-target interactions prediction;Chemometrics and Intelligent Laboratory Systems;2024-10

2. Three-Branch Molecular Representation Learning Framework for Predicting Molecular Properties in Drug Discovery;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

3. Treatment Prediction using Dual Adaptive Sequential Networks;2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC);2024-06-05

4. Artificial Intelligence in Drug Identification and Validation: A Scoping Review;Drug Research;2024-06

5. G-K BertDTA: A graph representation learning and semantic embedding-based framework for drug-target affinity prediction;Computers in Biology and Medicine;2024-05

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