Daniela Schuster

Orcid: 0000-0002-9933-8938

Affiliations:

Paracelsus Medical University, Salzburg, Austria

According to our database¹, Daniela Schuster authored at least 20 papers between 2005 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

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Other

Bibliography

2024

Abstaining Machine Learning - Philosophical Considerations.

[BibT_eX]

[DOI]

Daniela Schuster

CoRR, 2024

2023

Identification of Novel β-Tubulin Inhibitors Using a Combined In Silico/In Vitro Approach.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., October, 2023

Combination of In Silico and In Vitro Screening to Identify Novel Glutamate Carboxypeptidase II Inhibitors.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., February, 2023

On Floating Conclusions.

[BibT_eX]

Daniela Schuster

Jan M. Broersen

Henry Prakken

Proceedings of the Deontic Logic and Normative Systems - 16th International Conference, 2023

2021

Forms and Norms of Indecision in Argumentation Theory.

[BibT_eX]

Daniela Schuster

Proceedings of the Deontic Logic and Normative Systems - 15th International Conference, 2021

2019

Fingerprints and Pharmacophores.

[BibT_eX]

[DOI]

Daniela Schuster

Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

2016

Discovery of Potent Soluble Epoxide Hydrolase (sEH) Inhibitors by Pharmacophore-Based Virtual Screening.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2016

Optimized Virtual Screening Workflow for the Identification of Novel G-Quadruplex Ligands.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2016

2014

Discovery of New Liver X Receptor Agonists by Pharmacophore Modeling and Shape-Based Virtual Screening.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2014

Pharmacophore Modeling, Virtual Screening, and in Vitro Testing Reveal Haloperidol, Eprazinone, and Fenbutrazate as Neurokinin Receptors Ligands.

[BibT_eX]

[DOI]

Yvonne Krautscheid

Carl Johann Åke Senning

J. Chem. Inf. Model., 2014

Experimentally Validated hERG Pharmacophore Models as Cardiotoxicity Prediction Tools.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2014

2012

Identification of Novel Liver X Receptor Activators by Structure-Based Modeling.

[BibT_eX]

[DOI]

Susanne von Grafenstein

J. Chem. Inf. Model., 2012

2009

How To Optimize Shape-Based Virtual Screening: Choosing the Right Query and Including Chemical Information.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2009

2008

Discovery of Novel Cathepsin S Inhibitors by Pharmacophore-Based Virtual High-Throughput Screening.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2008

2007

Parallel Screening and Activity Profiling with HIV Protease Inhibitor Pharmacophore Models.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2007

Pharmacophore modeling and parallel screening for PPAR ligands.

[BibT_eX]

[DOI]

J. Comput. Aided Mol. Des., 2007

2006

Parallel Screening: A Novel Concept in Pharmacophore Modeling and Virtual Screening.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2006

Pharmacophore Modeling and in Silico Screening for New P450 19 (Aromatase) Inhibitors.

[BibT_eX]

[DOI]

J. Chem. Inf. Model., 2006

High-throughput structure-based pharmacophore modelling as a basis for successful parallel virtual screening.

[BibT_eX]

[DOI]

J. Comput. Aided Mol. Des., 2006

2005

The Identification of Ligand Features Essential for PXR Activation by Pharmacophore Modeling.

[BibT_eX]

[DOI]

Daniela Schuster

Thierry Langer

J. Chem. Inf. Model., 2005

Daniela Schuster

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