CoDe-DTI: Collaborative Deep Learning-based Drug-Target Interaction Prediction-Reference-Cited by-同舟云学术

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CoDe-DTI: Collaborative Deep Learning-based Drug-Target Interaction Prediction

Published:2018-12 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Yasuo Nobuaki,Nakashima Yusuke,Sekijima Masakazu

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8609864/8621069/08621368.pdf?arnumber=8621368

Cited by 14 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. Survey on Recommender Systems for Biomedical Items in Life and Health Sciences;ACM Computing Surveys;2024-02-23

2. Gargoyles: An Open Source Graph-Based Molecular Optimization Method Based on Deep Reinforcement Learning;ACS Omega;2023-09-28

3. Predicting Chemical Reaction Product by Graph Transformer;2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE);2023-07-24

4. Discovery of a Hidden Trypanosoma cruzi Spermidine Synthase Binding Site and Inhibitors through In Silico, In Vitro, and X-ray Crystallography;ACS Omega;2023-07-12

5. An Improved Model for Predicting Compound Retrosynthesizability Using Machine Learning;2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE);2022-11

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