BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Zhu Z, Fan Y, Liu Y, Jiang T, Cao Y, Peng Y. Prediction of antiviral drugs against African swine fever viruses based on protein-protein interaction analysis. PeerJ 2020;8:e8855. [PMID: 32274268 DOI: 10.7717/peerj.8855] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Choi J, Yun JS, Song H, Shin YK, Kang YH, Munashingha PR, Yoon J, Kim NH, Kim HS, Yook JI, Tark D, Lim YS, Hwang SB. Prediction of African Swine Fever Virus Inhibitors by Molecular Docking-Driven Machine Learning Models. Molecules 2021;26:3592. [PMID: 34208385 DOI: 10.3390/molecules26123592] [Reference Citation Analysis]
2 Chen C, Lai H, Liang H, He Y, Guo G, Li L. A New Method for Detection African Swine Fever Virus: Time-resolved Fluorescence Immunoassay. J Fluoresc 2021. [PMID: 34075517 DOI: 10.1007/s10895-021-02754-9] [Reference Citation Analysis]
3 Choi J, Tark D, Lim YS, Hwang SB. Identification of African Swine Fever Virus Inhibitors through High Performance Virtual Screening Using Machine Learning. Int J Mol Sci 2021;22:13414. [PMID: 34948216 DOI: 10.3390/ijms222413414] [Reference Citation Analysis]
4 Wang F, Zhang H, Hou L, Yang C, Wen Y. Advance of African swine fever virus in recent years. Res Vet Sci 2021;136:535-9. [PMID: 33882382 DOI: 10.1016/j.rvsc.2021.04.004] [Cited by in F6Publishing: 1] [Reference Citation Analysis]