a prismatic view of protein phosphorylation in health and disease

Clicks: 219
ID: 248901
2015
Free PDF
Article Quality & Performance Metrics
Overall Quality Improving Quality
0.0 /100
Combines engagement data with AI-assessed academic quality
AI Quality Assessment
Not analyzed
Abstract
Abstract is not available for this article.
Login to Search Abstract
Reference Key
evia2015frontiersa Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Allegra eVia;Andreas eZanzoni;Andreas eZanzoni
Journal chemical record (new york, ny)
Year 2015
DOI
10.3389/fgene.2015.00131
URL
http://journal.frontiersin.org/Journal/10.3389/fgene.2015.00131/full
Keywords
systems biology evolution disease computational biology cell signaling protein phosphorylationgenetics

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.