Conrad Stork

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 12

Top Topics

Molecular Docking

Machine Learning

High Throughput

Top Venues

Journal of chemical information and modeling

Nature reviews. Chemistry

Chemical research in toxicology

This page only lists publications with an associated author ORCID identifier.

Publications

Lu Tan, Steffen Hirte, Vincenzo Palmacci, Conrad Stork, Johannes Kirchmair
Tackling assay interference associated with small molecules. Nature reviews. Chemistry (2024)
Lu Tan, Steffen Hirte, Vincenzo Palmacci, Conrad Stork, Johannes Kirchmair
Tackling assay interference associated with small molecules. Nature reviews. Chemistry 8 (5) (2024)
Lu Tan, Steffen Hirte, Vincenzo Palmacci, Conrad Stork, Johannes Kirchmair
Tackling assay interference associated with small molecules. Nature reviews. Chemistry 8 (5) (2024)
Jochen Sieg, Christian W Feldmann, Jennifer Hemmerich, Conrad Stork, Frederik Sandfort, Philipp Eiden, Miriam Mathea
MolPipeline: A Python Package for Processing Molecules with RDKit in Scikit-learn. Journal of chemical information and modeling (2024)
Fidele Ntie-Kang, Kiran K Telukunta, Serge Alain Fobofou, Victor Chukwudi Osamor, Samuel Ayodele 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 Bekindaka Eni, Simeon Akame, Augustine B Arreyetta-Bawak, Oyere Tanyi Ebob, Jonathan A Metuge, Boris Davy Bekono, Mustafa A Isa, Raphael Onuku, Daniel M Shadrack, Thommas Mutemi Musyoka, Vaishali M Patil, Justin Johan Jozias van der Hooft, Vanderlan S Bolzani, José Luis Medina-Franco, Johannes Kirchmair, Tilmann Weber, Ozlem Tastan Bishop, Marnix H Medema, Ludger A A Wessjohann, Jutta Ludwig-Müller
Computational Applications in Secondary Metabolite Discovery (CAiSMD): an online workshop. Journal of cheminformatics 13 (1) (2021)
Anke Wilm, Ulf Norinder, M Isabel Agea, Christina de Bruyn Kops, Conrad Stork, Jochen Kühnl, Johannes Kirchmair
Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules. Chemical research in toxicology 34 (2) (2020)
Ningning Fan, Christoph Alexander Bauer, Conrad Stork, Christina de Bruyn Kops, Johannes Kirchmair
ALADDIN: Docking Approach Augmented by Machine Learning for Protein Structure Selection Yields Superior Virtual Screening Performance. Molecular informatics 39 (4) (2019)
Ya Chen, Conrad Stork, Steffen Hirte, Johannes Kirchmair
NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules. Biomolecules 9 (2) (2019)
Martin Šícho, Conrad Stork, Angelica Mazzolari, Christina de Bruyn Kops, Alessandro Pedretti, Bernard Testa, Vistoli Giulio, 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. Journal of chemical information and modeling 59 (8) (2019)
Conrad Stork, Ya Chen, Martin Šícho, Johannes Kirchmair
Hit Dexter 2.0: Machine-Learning Models for the Prediction of Frequent Hitters. Journal of chemical information and modeling 59 (3) (2019)
Conrad Stork, Johannes Wagner, Nils-Ole Friedrich, Christina de Bruyn Kops, Martin Šícho, Johannes Kirchmair
Hit Dexter: A Machine-Learning Model for the Prediction of Frequent Hitters. ChemMedChem 13 (6) (2018)
Martin Šícho, Christina de Bruyn Kops, Conrad Stork, Daniel Svozil, Johannes Kirchmair
FAME 2: Simple and Effective Machine Learning Model of Cytochrome P450 Regioselectivity. Journal of chemical information and modeling 57 (8) (2017)