Research Articles

Kinetica Online features full length, scientific articles based on original research carried out by Kinexus scientists and their collaborators. Our objectives are to provide insightful analyses on topics of interest to the broad community of scientists engaged in the study of cell signalling systems. This includes the consolidation and distillation of interesting findings from our open-access KiNET DataBank and SigNET KnowledgeBank. These publications and their supporting data are freely available, and can be fully reproduced for scholarly purposes if the original publication is cited as recommended in the individual articles.

In many cases, the posted work has received pre-publication peer-review, but we welcome and value the input of knowledgeable individuals in the Commentary Section for each article. Such comments may be submitted to identify problematic issues with the methods and interpretation of the findings. We also encourage further insights that contribute to improved understanding of the topic of each article. All comments are vetted before posting to ensure relevance, high professional standards, and the submitters and their primary affiliations must be identified for full transparency. We believe that open, post-publication peer-review can provide a higher degree of rigor than is afforded by most traditional journals.

While every effort has been made to ensure the accuracy and truthfulness of the data and other information contained in these articles, Kinexus Bioinformatics Corporation shall not be liable for any damages or injury arising from the use of the contents in any documents posted or downloaded from the Kinetica Online website.