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Megan Strait, Connor Gramazio, Jisoo Park, Sara Su, Lenore Cowen (Tufts University, Medford, MA, USA)We introduce moleint, an integrated, adaptive interface for supporting inquiry-based proteomics learning and research. In this application domain, we address the challenges of exploratory protein visualizations across linked heterogeneous data. Biologists studying a protein must keep track of three types of associated information – sequence, structure, and homology. We demonstrate that an implementation of integrated multiple views is an effective method for offloading this data from working memory. Furthermore, we give a proof-of-concept demonstration of two adaptive mechanisms for countering the cognitive demand of the increase in information presented to the user.