| scholarly article | Q13442814 |
| P819 | ADS bibcode | 2018NatCo...9.1772Q |
| P6179 | Dimensions Publication ID | 1103695333 |
| P356 | DOI | 10.1038/S41467-018-04171-2 |
| P932 | PMC publication ID | 5932059 |
| P698 | PubMed publication ID | 29720583 |
| P50 | author | Tianlei Xu | Q37367979 |
| P2093 | author name string | Yang Huang | |
| Jianqing Xu | |||
| Xiaoyan Zhang | |||
| Chen Zhou | |||
| Han Xiao | |||
| Zhiwei Cao | |||
| Kailin Tang | |||
| Dingfeng Wu | |||
| Jingxuan Qiu | |||
| Qingchen Zhang | |||
| Tianyi Qiu | |||
| Yiyan Yang | |||
| P2860 | cites work | Guillain-Barré Syndrome outbreak associated with Zika virus infection in French Polynesia: a case-control study | Q23012849 |
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| Erratum: Advances in the development of influenza virus vaccines | Q56765792 | ||
| Discovery of similar regions on protein surfaces | Q80466042 | ||
| P433 | issue | 1 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | Zika virus | Q202864 |
| emerging pathogen | Q108429945 | ||
| P5008 | on focus list of Wikimedia project | WikiProject Zika Corpus | Q54439832 |
| P304 | page(s) | 1772 | |
| P577 | publication date | 2018-05-02 | |
| P1433 | published in | Nature Communications | Q573880 |
| P1476 | title | CE-BLAST makes it possible to compute antigenic similarity for newly emerging pathogens. | |
| P478 | volume | 9 |
| Q97423276 | A benchmark dataset of protein antigens for antigenicity measurement |
| Q60305271 | Antigenicity Determination and Clustering of Dengue Virus Serotypes |
| Q98188950 | Bioinformatics analysis of epitope-based vaccine design against the novel SARS-CoV-2 |
| Q90325551 | Identification of potential cross-protective epitope between a new type of coronavirus (2019-nCoV) and severe acute respiratory syndrome virus |
| Q64106221 | In silico analysis as a strategy to identify candidate epitopes with human IgG reactivity to study Porphyromonas gingivalis virulence factors |
| Q92203163 | SEPPA 3.0-enhanced spatial epitope prediction enabling glycoprotein antigens |
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