<div class="rightPan">
<h3>About Glycomics Workbench</h3>
<p style="text-align: justify;">The development of <strong>Glycomics Workbench</strong> is based on a combination of Grid technology and cloud computing that will be supported by High-Performance Computing (similar technology was used earlier for CHOIS (<a href="http://glycomicsworkbench.org/publications/healthgrid10.pdf" target="_blank" rel="noopener">CHOIS</a>) and various Large Language Models (LLMs) of generative AI for searching and generating chat or text based output. This is designed to serve the Glyco-Community and other researchers who have interest in Glycobiology. Unlike the <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3063003/" target="_blank" rel="noopener">central dogma</a> where the information or code flows from DNA to RNA to Protein, <strong>Glycocode</strong> or the code that deciphers the information (human glycocode consists of a combination of 10 monosaccharides in different orders) for a variety of cellular functions including cell signaling are the result of orchestrated functions of a set of glycosyltransferases. A single protein can be decorated by a variety of carbohydrates (syn. Glycans) resulting in multiple forms of glycoproteins. Thus, while the total number of mammalian cellular proteins is estimated at about 20000, glycosylation turns those into unaccounted numbers. Structural identification of those glycoconjugates is time consuming and tedious. <strong>Glycome</strong> or the carbohydrate (glycan) related data generated using a variety of analytical techniques are needed for their structural identification. A variety of software tools and databases have been developed for <strong>Glycomics</strong> or the analysis of those glycoconjugates from glycoproteins, glycolipids and proteoglycans (see <a href="https://novapublishers.com/shop/glycome-the-hidden-code-in-biology/" target="_blank" rel="noopener">here</a> for article 16). Not all are web-based making those stand-alone software tools unavailable for use when needed by the Glyco-Community. Glycomics Workbench is designed to provide those tools via C-Grid (see this paper), a community data grid that can be utilized by the developers and researchers for sharing those tools via this web portal. Moreover, this website will serve as a portal providing access to all the web-based resources needed for Glycome research. This is also designed to provide information generated by various LLMs that can benefit the students and researchers learning glycobiology. Educators will also benefit from that information teaching glycobiology in a class-based or one-on-one set-up.</p>
</div>