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Dimitar G. Yonchev
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2020 – today
- 2021
- [b1]Dimitar G. Yonchev:
Development of Computational Methods for Rationalizing Chemical Lead Optimization and Compound Design. University of Bonn, Germany, 2021 - 2020
- [j2]Dimitar G. Yonchev, Jürgen Bajorath:
DeepCOMO: from structure-activity relationship diagnostics to generative molecular design using the compound optimization monitor methodology. J. Comput. Aided Mol. Des. 34(12): 1207-1218 (2020) - [d3]Christian Feldmann, Dimitar G. Yonchev, Jürgen Bajorath:
Data sets for compound promiscuity analysis and predictions. Zenodo, 2020 - [d2]Christian Feldmann, Dimitar G. Yonchev, Dagmar Stumpfe, Jürgen Bajorath:
Systematic Data Analysis and Diagnostic Machine Learning Reveal Differences between Compounds with Single- and Multitarget Activity. Zenodo, 2020
2010 – 2019
- 2019
- [d1]Christian Feldmann, Filip Miljkovic, Dimitar G. Yonchev, Jürgen Bajorath:
Promiscuous compounds with activity against different target classes. Zenodo, 2019 - 2017
- [j1]Paul F. Zierep, Natàlia Padilla, Dimitar G. Yonchev, Kiran K. Telukunta, Dennis Klementz, Stefan Günther:
SeMPI: a genome-based secondary metabolite prediction and identification web server. Nucleic Acids Res. 45(Webserver-Issue): W64-W71 (2017)
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last updated on 2024-09-29 01:16 CEST by the dblp team
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