Virtual screening approach to identifying influenza virus neuraminidase inhibitors using molecular docking combined with machine-learning-based scoring function-Reference-Cited by-同舟云学术

Virtual screening approach to identifying influenza virus neuraminidase inhibitors using molecular docking combined with machine-learning-based scoring function

Published:2017-09-15 Issue:47 Volume:8 Page:83142-83154
ISSN:1949-2553
Container-title:Oncotarget
language:en
Short-container-title:Oncotarget

Author:

Zhang Li¹²,Ai Hai-Xin¹²³,Li Shi-Meng¹,Qi Meng-Yuan¹,Zhao Jian¹,Zhao Qi⁴,Liu Hong-Sheng¹²³

Affiliation:

1. School of Life Science, Liaoning University, Shenyang 110036, China

2. Research Center for Computer Simulating and Information Processing of Bio-macromolecules of Liaoning Province, Shenyang 110036, China

3. Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, Shenyang 110036, China

4. School of Mathematics, Liaoning University, Shenyang 110036, China

Publisher

Impact Journals, LLC

Subject

Oncology

Cited by 41 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. Building shape-focused pharmacophore models for effective docking screening;Journal of Cheminformatics;2024-08-09

2. Benchmarking ANI potentials as a rescoring function and screening FDA drugs for SARS-CoV-2 Mpro;Journal of Computer-Aided Molecular Design;2024-03-27

3. Advances in machine intelligence‐driven virtual screening approaches for big‐data;Medicinal Research Reviews;2023-12-21

4. Artificial Intelligence-Based IoT Applications in Future Pandemics;Machine Intelligence for Internet of Medical Things: Applications and Future Trends;2023-05-09

5. Antiviral Approaches against Influenza Virus;Clinical Microbiology Reviews;2023-03-23