The team led by Christoph Steinbeck (r.) and Achim Zielesny has developed the AI tool DECIMER.ai, which researchers can use worldwide. Image: Anne Günther (University of Jena)
The team led by Christoph Steinbeck (r.) and Achim Zielesny has developed the AI tool DECIMER.ai, which researchers can use worldwide. Image: Anne Günther (University of Jena) - Knowledge Transfer and Innovation - Published: Researchers from the University of Jena, the Westphalian University of Applied Sciences and the University of Chemistry and Technology Prague have developed a platform that uses artificial neural networks to translate chemical structural formulae into machine-readable form. With this platform, they have created a tool with which this information from scientific publications can be automatically fed into databases. Until now, this had to be done literally by hand and was time-consuming. In the current issue of the specialist journal "Nature Communications", the team led by Prof. Christoph Steinbeck and Prof. Achim Zielesny presents the latest version of their tool, DECIMER.ai ( DOI: 10.1038/s41467'023 -40782-0 ), which researchers can use worldwide. Structural formulae show how chemical compounds are constructed, i.e., which atoms they consist of, how these are arranged spatially and how they are connected.
TO READ THIS ARTICLE, CREATE YOUR ACCOUNT
And extend your reading, free of charge and with no commitment.
