Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 

Ahead of print publication  

Anticancer property of Zika virus proteins: Lack of evidence from predictive clinical bioinformatics study

1 Sanitation 1 Medical Academic Center, Bangkok, Thailand
2 Department of Biological Science, Joseph Ayobabalola University, Ikeji-Arakeji, Osun State, Nigeria

Date of Submission27-Aug-2019
Date of Decision30-Dec-2019
Date of Acceptance30-Dec-2019
Date of Web Publication10-May-2021

Correspondence Address:
Beuy Joob,
Sanitation 1 Medical Academic Center, Bangkok
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jcrt.JCRT_657_19

How to cite this URL:
Joob B, Wiwanitkit V. Anticancer property of Zika virus proteins: Lack of evidence from predictive clinical bioinformatics study. J Can Res Ther [Epub ahead of print] [cited 2021 Dec 5]. Available from: https://www.cancerjournal.net/preprintarticle.asp?id=315674


Zika virus infection is an important arbovirus infection that still presents with global public health consideration. In clinical oncology, the infection might occur in cancerous patients and becomes an important consideration for proper patient care.[1] In addition, the previous study also showed that Zika virus is not a carcinogenic pathogen.[2] Some researchers mentioned that Zika virus might be useful for cancer treatment. Chen et al. proposed that Zika virus-based vaccine might be useful in glioma management.[3] In a recent mouse model experiment, some proteins of Zika virus showed a possible inhibitory activity against tumor cells.[4] Nevertheless, there has been no research regarding the anticancer property of Zika virus.

Similar to the previous report,[2] hereby the authors use clinical bioinformatics approach for prediction on the anticancer properties of Zika virus proteins. Overall, 1454 Zika virus proteins derived from PubMED database were tested for anticancer property using a standard clinical informatics tool namely MLACP.[5] The technique is an artificial intelligence approach based on structural–function comparison between the studied proteins and referenced anticancer compounds.[5] According to the present report, none of the 1454 Zika virus proteins show anticancer property. Based on this study, it can be concluded that Zika virus protein might not be useful for cancer therapy.

Financial support and sponsorship


Conflicts of interest

There are no conflicts of interest.

 > References Top

Wiwanitkit V. Zika virus infection in cancerous patient. Indian J Med Paediatr Oncol 2017;38:94-5.  Back to cited text no. 1
[PUBMED]  [Full text]  
Joob B, Wiwanitkit V. In silico analysis to predict lack of carcinogenicity of Zika virus. Indian J Cancer 2016;53:225.  Back to cited text no. 2
[PUBMED]  [Full text]  
Chen Q, Wu J, Ye Q, Ma F, Zhu Q, Wu Y, et al. Treatment of human glioblastoma with a live attenuated Zika virus vaccine candidate. mBio 2018;9. pii: e01683-18.  Back to cited text no. 3
Li H, Hu Y, Huang J, Feng Y, Zhang Z, Zhong K, et al. Zika virus NS5 protein inhibits cell growth and invasion of glioma. Biochem Biophys Res Commun 2019;516:515-20.  Back to cited text no. 4
Manavalan B, Basith S, Shin TH, Choi S, Kim MO, Lee G. MLACP: Machine-learning-based prediction of anticancer peptides. Oncotarget 2017;8:77121-36.  Back to cited text no. 5


     Search Pubmed for
    -  Joob B
    -  Wiwanitkit V
    Access Statistics
    Email Alert *
    Add to My List *
* Registration required (free)  

  In this article

 Article Access Statistics
    PDF Downloaded9    

Recommend this journal