Prediction of Virus–Receptor Interactions Based on Improving Similarities-Reference-Cited by-同舟云学术

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Prediction of Virus–Receptor Interactions Based on Improving Similarities

Published:2021-07-01 Issue:7 Volume:28 Page:650-659
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Zhu Lingzhi¹²,Yan Cheng¹³,Duan Guihua¹

Affiliation:

1. School of Computer Science and Engineering, Central South University, Changsha, China.

2. School of Computer and Information Science, Hunan Institute of Technology, Hengyang, China.

3. School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2020.0544

Reference20 articles.

1. Alignment-free $d_2^*$ oligonucleotide frequency dissimilarity measure improves prediction of hosts from metagenomically-derived viral sequences

2. Evolution of Cell Recognition by Viruses

3. Interhuman transmissibility of Middle East respiratory syndrome coronavirus: estimation of pandemic risk

4. Virus-Receptor Interactions and Receptor-Mediated Virus Entry into Host Cells

5. DC-SIGN: The Strange Case of Dr. Jekyll and Mr. Hyde

Cited by 3 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. Prediction of virus-receptor interactions based on multi-view learning and link prediction;2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2022-12-06

2. Identifying virus-receptor interactions through matrix completion with similarity fusion;2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2021-12-09

3. Prediction of Virus-Receptor Interactions Based on Similarity and Matrix Completion;Bioinformatics Research and Applications;2021

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