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Achim Zielesny
Researcher at University of Cologne
Publications - 46
Citations - 573
Achim Zielesny is an academic researcher from University of Cologne. The author has contributed to research in topics: Cheminformatics & Medicine. The author has an hindex of 12, co-authored 39 publications receiving 436 citations.
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CDK-Taverna: an open workflow environment for cheminformatics
TL;DR: In this paper, a combination of the Taverna workflow engine and the Chemistry Development Kit (CDK) provides the first open source cheminformatics workflow solution for the biosciences.
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DECIMER: towards deep learning for chemical image recognition.
TL;DR: Preliminary findings in the development of Deep lEarning for Chemical ImagE Recognition (DECIMER), a deep learning method based on existing show-and-tell deep neural networks, which translates a bitmap image of a molecule, as found in publications, into a SMILES.
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New developments on the cheminformatics open workflow environment CDK-Taverna.
Andreas Truszkowski,Kalai Vanii Jayaseelan,Stefan Neumann,Egon Willighagen,Achim Zielesny,Christoph Steinbeck +5 more
TL;DR: The CDK-Taverna project was migrated to the most up-to-date versions of its foundational software libraries with a complete re-engineering of its worker's architecture (version 2.0) and matured to become a freely available and increasingly powerful tool for the biosciences.
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Hemicucurbit[6]uril a Macrocyclic Ligand with Unusual Complexing Properties
TL;DR: In this paper, the macrocyclic ligand hemicucurbit[6]uril with various salts has been studied in aqueous solution and the stability constants of the complexes formed are calculated.
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A review of optical chemical structure recognition tools
TL;DR: This review provides an overview of all methods and tools that have been published in the field of OCSR and some of the latest approaches are based on deep neural networks (DNN).