Efficient Deep Model Ensemble Framework for Drug-Target Interaction Prediction-Reference-Cited by-同舟云学术

Efficient Deep Model Ensemble Framework for Drug-Target Interaction Prediction

Published:2024-07-22 Issue:30 Volume:15 Page:7681-7693
ISSN:1948-7185
Container-title:The Journal of Physical Chemistry Letters
language:en
Short-container-title:J. Phys. Chem. Lett.

Author:

Wei Jinhang¹,Zhu Yangbin¹,Zhuo Linlin¹^ORCID,Liu Yang²^ORCID,Fu Xiangzheng³,Li Fushan⁴⁵

Affiliation:

1. School of Data Science and Artificial Intelligence, Wenzhou University of Technology, Wenzhou 325000, China

2. Strait Institute of Flexible Electronics (SIFE, Future Technologies), Fujian Key Laboratory of Flexible Electronics, Fujian Normal University and Strait Laboratory of Flexible Electronics (SLoFE), Fuzhou 350002, China

3. College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China

4. Institute of Optoelectronic Technology, Fuzhou University, Fuzhou 350002, China

5. Fujian Science & Technology Innovation Laboratory for Optoelectronic Information of China, Fuzhou 350116, China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpclett.4c01509

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5. Predicting commercially available antiviral drugs that may act on the novel coronavirus (SARS-CoV-2) through a drug-target interaction deep learning model