Zika virus phosphoproteome through the computational looking-glass and what we found there?
- Published
- Accepted
- Subject Areas
- Bioinformatics, Computational Biology, Virology
- Keywords
- Zika virus, proteome, phosphorylation, Computational biology
- Copyright
- © 2016 Basharat et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2016. Zika virus phosphoproteome through the computational looking-glass and what we found there? PeerJ Preprints 4:e2047v1 https://doi.org/10.7287/peerj.preprints.2047v1
Abstract
Computational phospho-mining and related post translational modification analyses using in silico methods is debateable. For some wet lab scientists, it is similar to the twilight zone, where nothing might be quite what it seems. We certainly agree that the wet lab is critical for validation but computational assays rapidly generate preliminary data for assessment and aid wet lab. Zika virus is wrecking a havoc and it is the need of the hour to rapidly assess various phenomenon associated with its pathogenicity and disseminate it to the scientific community for assessment. Phosphorylation assists in viral replication and its association with host receptors. Here, we present a vignette of the phosphorylation potential of Zika virus proteins.
Author Comment
The current pre-print version (v.01) of this manuscript may contain grammatical & proofreading mistakes. Errors and omissions excepted.