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2020 – today
- 2021
[j5]Fidele Ntie-Kang
, Kiran K. Telukunta, Serge A. T. Fobofou, Victor Chukwudi Osamor, Samuel A. Egieyeh, Marilia Valli, Yannick Djoumbou Feunang, Maria Sorokina, Conrad Stork, Neann Mathai, Paul F. Zierep, Ana L. Chávez-Hernández, Miquel Duran-Frigola, Smith B. Babiaka, Romuald Tematio Fouedjou, Donatus B. Eni, Simeon Akame, Augustine B. Arreyetta-Bawak, Oyere T. Ebob, Jonathan A. Metuge, Boris D. Bekono, Mustafa A. Isa, Raphael Onuku, Daniel M. Shadrack, Thommas M. Musyoka, Vaishali M. Patil, Justin J. J. van der Hooft, Vanderlan da Silva Bolzani, José L. Medina-Franco, Johannes Kirchmair, Tilmann Weber, Özlem Tastan Bishop, Marnix H. Medema, Ludger A. Wessjohann, Jutta Ludwig-Müller:
Computational Applications in Secondary Metabolite Discovery (CAiSMD): an online workshop. J. Cheminformatics 13(1): 64 (2021)- 2020
- [j4]Conrad Stork, Gerd Embruch, Martin Sícho, Christina de Bruyn Kops, Ya Chen, Daniel Svozil, Johannes Kirchmair:
NERDD: a web portal providing access to in silico tools for drug discovery. Bioinform. 36(4): 1291-1292 (2020)
2010 – 2019
- 2019
- [j3]Conrad Stork, Ya Chen, Martin Sícho, Johannes Kirchmair:
Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters. J. Chem. Inf. Model. 59(3): 1030-1043 (2019) - [j2]Martin Sícho, Conrad Stork, Angelica Mazzolari, Christina de Bruyn Kops, Alessandro Pedretti, Bernard Testa, Giulio Vistoli, Daniel Svozil, Johannes Kirchmair:
FAME 3: Predicting the Sites of Metabolism in Synthetic Compounds and Natural Products for Phase 1 and Phase 2 Metabolic Enzymes. J. Chem. Inf. Model. 59(8): 3400-3412 (2019) - 2017
- [j1]Martin Sícho, Christina de Bruyn Kops, Conrad Stork, Daniel Svozil, Johannes Kirchmair:
FAME 2: Simple and Effective Machine Learning Model of Cytochrome P450 Regioselectivity. J. Chem. Inf. Model. 57(8): 1832-1846 (2017)
Coauthor Index
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