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Elien Vandermarliere

Researcher at Ghent University

Publications -  44
Citations -  916

Elien Vandermarliere is an academic researcher from Ghent University. The author has contributed to research in topics: Mumps virus & Proteomics. The author has an hindex of 15, co-authored 42 publications receiving 712 citations. Previous affiliations of Elien Vandermarliere include Katholieke Universiteit Leuven.

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Getting intimate with trypsin, the leading protease in proteomics

TL;DR: An overview on the structure and working mechanism of trypsin is provided, followed by a critical analysis of its cleavage behavior, typically simply accepted to occur exclusively yet consistently after Arg and Lys, unless they are following by a Pro.
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Structural analysis of a glycoside hydrolase family 43 arabinoxylan arabinofuranohydrolase in complex with xylotetraose reveals a different binding mechanism compared with other members of the same family.

TL;DR: Superposition of the BsAXH-m2,3 structure with known structures of the GH family 43 exo-acting enzymes, beta-xylosidase and alpha-L-arabinanase, each in complex with their substrate, reveals a different orientation of the sugar backbone.
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Crystallographic analysis shows substrate binding at the -3 to +1 active site subsites and at the surface of glycoside hydrolase family 11 endo-1,4-{beta}-xylanases

TL;DR: The existence of an unproductive second ligand-binding site located on the surface of both the B. subtilis and A. niger xylanases was observed, suggesting that this extra binding site may have a function similar to the separate carbohydrate-binding modules of other glycoside hydrolase families.
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Crystallographic and activity-based evidence for thumb flexibility and its relevance in glycoside hydrolase family 11 xylanases.

TL;DR: The observation that extensive thumb opening is possible combined with the kinetic data suggests that the thumb plays a crucial role in both binding of substrate and release of product from the active site.
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Predicting Tryptic Cleavage from Proteomics Data Using Decision Tree Ensembles

TL;DR: It is demonstrated that CP-DT (Cleavage Prediction with Decision Trees), an algorithm based on a decision tree ensemble that was learned on publicly available peptide identification data from the PRIDE repository, is able to accurately predict tryptic cleavage.