Both continue our series of resources aimed at integrating existing information in new ways to facilitate data mining and development of new hypotheses. In addition, iProteinDB includes a new dataset related to post-transcriptional modification (in this case, phosphorylation). We invite you to use the examples or your favorite genes, pathways, etc. to explore what each tool has to offer.
At iProteinDB, scientists can view the post-translational modification (PTM) landscape for any Drosophila protein and identify predicted functional phosphosites based on a comparative analysis of data from closely-related Drosophila species. Further, iProteinDB enables comparison of PTM data from Drosophila to that of orthologous proteins from other model organisms, including human, mouse, rat, Xenopus laevis, Danio rerio, and Caenorhabditis elegans. For detailed information see our preprint on BioRxiv.
The published literature encapsulates years of research about biological systems but finding the relevant literature about a gene or a biological topic is not always straightforward. BioLitMine was implemented to help scientists to quickly mine the literature. Currently users will be able to find MeSH terms (biological or medical topics) associated with the input gene and the relevant literature under each MeSH topic, genes that are associated with any MeSH terms as well as the relevant literature. BioLitMine can also help scientists find the principle investigators who are working on the gene of the interest or a particular signaling pathway to facilitate scientific collaborations.
Feedback about these and other online tools we offer is welcome.
Please use our bug report form to report bugs, provide other feedback about tools, or make suggestions for new tools or added features.