BMC Bioinformatics · 2011 · 24 citations · 32 references
Life SciencesBiochemistryBioinformaticsGlycobiologySequence AnalysisStructural BioinformaticsCarbohydrate RecognitionCarbohydrate-protein InteractionsGlycan AnalysisGlycan RecognitionGlycan StructureGlycan-protein InteractionsCarbohydrate Recognition DomainsCarbohydrate Recognition MotifsConserved Domain IdentificationLectin-carbohydrate InteractionsLectin-carbohydrate RecognitionLectin-glycan RecognitionLectinsSequence Profile Analysis
BACKGROUND: It is important to understand the roles of C-type lectins in the immune system due to their ubiquity and diverse range of functions in animal cells. It has been observed that currently confirmed C-type lectins share a highly conserved domain known as the C-type carbohydrate recognition domain (CRD). Using the sequence profile of the CRD, an increasing number of putative C-type lectins have been identified. Hence, it is highly needed to develop a systematic framework that enables us to elucidate their carbohydrate (glycan) recognition function, and discover their physiological and pathological roles. RESULTS: Presented herein is an integrated workflow for characterizing the sequence and structural features of novel C-type lectins. Our workflow utilizes web-based queries and available software suites to annotate features that can be found on the C-type lectin, given its amino acid sequence. At the same time, it incorporates modeling and analysis of glycans - a major class of ligands that interact with C-type lectins. Thereafter, the results are analyzed together with context-specific knowledge to filter off unlikely predictions. This allows researchers to design their subsequent experiments to confirm the functions of the C-type lectins in a systematic manner. CONCLUSIONS: The efficacy and usefulness of our proposed immunoinformatics workflow was demonstrated by applying our integrated workflow to a novel C-type lectin -CLEC17A - and we report some of its possible functions that warrants further validation through wet-lab experiments.
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The Pfam Protein Families Database
Alex Bateman · Nucleic Acids Research · 2002 · 14.2K citations · Full text
The SWISS-MODEL workspace: a web-based environment for protein structure homology modelling
Konstantin Arnold, Lorenza Bordoli, Jürgen Kopp et al. · Bioinformatics · 2005 · 7.1K citations · Full text