Deep learning for structure elucidation of natural products with multidimensional NMR spectroscopy
| Focus topic: | Life Science Technologies |
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| Type of funding: | Individual funding programmes |
| Funded institution: |
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The funding will enable Prof. Dr. Christoph Steinbeck, Professor of Chemometrics/Chemoinformatics, to tackle an ambitious and high-risk project based on existing preliminary work and thus open up new areas of science.
Goals
Natural products are a key to understanding interactions in ecosystems, but also form the basis of many pharmaceutical products. Their structure elucidation by means of deep neural networks integrated with deep learning methods is the goal of the project.
Involved persons:
Prof. Dr. Christoph Steinbeck
Friedrich-Schiller-Universität Jena
Detailed information:
| Focus topic: | Life Science Technologies |
|---|---|
| Type of funding: | Individual funding programmes |
| Target group: | CZS Endowed Professors |
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| Funding budget: | 72.520 € |
| Period of time: | Juli 2021 - Februar 2022 |
Funded institution:
