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Ya Chen 0002

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affiliation: University of Hamburg, Department of Informatics, Faculty of Mathematics, Informatics and Natural Sciences, Center for Bioinformatics, ZBH, Germany

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2020 – today

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2024
[j7]
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Ya Chen, Thomas Seidel, Roxane Axel Jacob, Steffen Hirte, Angelica Mazzolari, Alessandro Pedretti, Giulio Vistoli, Thierry Langer, Filip Miljkovic, Johannes Kirchmair:
Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. J. Chem. Inf. Model. 64(2): 348-358 (2024)
2020
[b1]
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Ya Chen:
Cheminformatics in Natural Product-Based Drug Discovery. University of Hamburg, Germany, 2020
[j6]
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Neann Mathai, Ya Chen, Johannes Kirchmair:
Validation strategies for target prediction methods. Briefings Bioinform. 21(3): 791-802 (2020)
[j5]
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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)
[j4]
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Ya Chen, Neann Mathai, Johannes Kirchmair:
Scope of 3D Shape-Based Approaches in Predicting the Macromolecular Targets of Structurally Complex Small Molecules Including Natural Products and Macrocyclic Ligands. J. Chem. Inf. Model. 60(6): 2858-2875 (2020)

2010 – 2019

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2019
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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)
2018
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Ya Chen, Marina Garcia de Lomana, Nils-Ole Friedrich, Johannes Kirchmair:
Characterization of the Chemical Space of Known and Readily Obtainable Natural Products. J. Chem. Inf. Model. 58(8): 1518-1532 (2018)
2017
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Ya Chen, Christina de Bruyn Kops, Johannes Kirchmair:
Data Resources for the Computer-Guided Discovery of Bioactive Natural Products. J. Chem. Inf. Model. 57(9): 2099-2111 (2017)

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