Abstract
To study a novel protein family requires a biologist to understand many different types of information. Moreover, the speed of discovery in biology has been expanding exponentially. And, the public knowledge management platforms are not customerized to a research project. It is often cumbersome. To overcome these obstacles, we have set up a knowledge management platform by integrating several databases. Particularly, we have constructed a knowledge management platform on the novel LARGE-liked glycosyltransferases family. The predicted protein structure of a LARGE protein family member contains an N-terminal cytoplasmic domain, a transmembrane region, a coiled-coil motif and a putative catalytic domain with the conserved DXD motif and a conserved protein structural domain, as previously described. Firstly, we have developed workflow to identify the members of the LARGE-liked protein family. We then have integrated DNA sequence, protein sequence, protein domain, protein family based on the CAZY databank, human and animal disease information and references into one knowledge management platform for studying diseases.
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Hwa, Ky., Lin, WM., Lee, CP., Chen, MY. (2009). Knowledge Management on the Novel LAGE-Like GlcNAc-Transferase Protein Family. In: Ślęzak, D., Arslan, T., Fang, WC., Song, X., Kim, Th. (eds) Bio-Science and Bio-Technology. BSBT 2009. Communications in Computer and Information Science, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10616-3_19
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DOI: https://doi.org/10.1007/978-3-642-10616-3_19
Publisher Name: Springer, Berlin, Heidelberg
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