Protein Chemical Cross-linking/Mass Spectrometry: From raw data to fully immersive visualizations
Additionally, data resulting from chemical cross-linking in most cases come in a raw format that makes it hard for the user to absorb the data and get a bigger picture of the existing interactions as well as getting a close insight on smaller reactions. This has motivated the department of Bioinformatics at the University of Arkansas at Little Rock to develop an algorithm named “X-Linked Peptide Mapping” that allows the analysis of the data and identify interacting peptides (short chains of amino acids) in an easier, more accurate way avoiding the limitations mentioned before. Since the field of chemical cross-linking mass spectrometry of protein-protein interactions hasn’t been explored visually in a comprehensive way before, the results encouraged us at the Emerging Analytics Center at the University of Arkansas at Little Rock to develop an interactive web application that allows the user to visualize the results of the analysis including 2D information representations as well as 3D structural modeling representation of the interactions,. This paper presents preliminary research in this area, including the development of a prototype immersive environment to explore the molecular structures.
Document Type: Research Article
Publication date: February 14, 2016
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