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Alexander Botzki

Researcher at Flanders Institute for Biotechnology

Publications -  32
Citations -  1435

Alexander Botzki is an academic researcher from Flanders Institute for Biotechnology. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 12, co-authored 25 publications receiving 909 citations. Previous affiliations of Alexander Botzki include University of Regensburg.

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PLAZA 4.0 : an integrative resource for functional, evolutionary and comparative plant genomics

TL;DR: PLAZA 4.0 is presented, the latest iteration of the PLAZA framework, providing a large increase in newly available species, and offers access to updated and newly implemented tools and visualizations, helping users with the ever-increasing demands for complex and in-depth analyzes.
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L-ascorbic acid-6-hexadecanoate, a potent hyaluronidase inhibitor: X-ray structure and molecular modeling of enzyme-inhibitor complexes

TL;DR: It is shown that l-ascorbic acid 6-hexadecanoate (VCPal) is a potent inhibitor of both streptococcal and bovine testicular hyaluronidase (BTH), and the x-ray structure of the SpnHL-Vcpal complex is determined and the hypothesis that additional hydrophobic interactions with Phe-343, His-399, and Thr-400 in the active site led to increased inhibition is confirmed.
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PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization.

TL;DR: Here, PhyD3 has been developed as a lightweight tool using the JavaScript library D3.js to achieve a state‐of‐the‐art phylogenetic tree visualization in the web browser, with support for advanced annotations.
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Bis(1H-2-indolyl)methanones as a novel class of inhibitors of the platelet-derived growth factor receptor kinase.

TL;DR: The novel lead bis(1H-2-indolyl)methanone inhibits autophosphorylation of platelet-derived growth factor (PDGF) receptor tyrosine kinase in intact cells and appears therefore selective for PDGF receptor inhibition.
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ConTra v3 : a tool to identify transcription factor binding sites across species, update 2017

TL;DR: This updated version of the ConTra v3 web server allows easy visualization and exploration of predicted transcription factor binding sites (TFBSs) in any genomic region surrounding coding or non-coding genes, and additional new exploration functionality is added.