Daniela Schuster

According to our database1, Daniela Schuster authored at least 15 papers between 2005 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2019
Fingerprints and Pharmacophores.
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.
J. Chem. Inf. Model., 2016

Optimized Virtual Screening Workflow for the Identification of Novel G-Quadruplex Ligands.
J. Chem. Inf. Model., 2016

2014
Discovery of New Liver X Receptor Agonists by Pharmacophore Modeling and Shape-Based Virtual Screening.
J. Chem. Inf. Model., 2014

Pharmacophore Modeling, Virtual Screening, and <i>in Vitro</i> Testing Reveal Haloperidol, Eprazinone, and Fenbutrazate as Neurokinin Receptors Ligands.
J. Chem. Inf. Model., 2014

Experimentally Validated hERG Pharmacophore Models as Cardiotoxicity Prediction Tools.
J. Chem. Inf. Model., 2014

2012
Identification of Novel Liver X Receptor Activators by Structure-Based Modeling.
J. Chem. Inf. Model., 2012

2009
How To Optimize Shape-Based Virtual Screening: Choosing the Right Query and Including Chemical Information.
J. Chem. Inf. Model., 2009

2008
Discovery of Novel Cathepsin S Inhibitors by Pharmacophore-Based Virtual High-Throughput Screening.
J. Chem. Inf. Model., 2008

2007
Parallel Screening and Activity Profiling with HIV Protease Inhibitor Pharmacophore Models.
J. Chem. Inf. Model., 2007

Pharmacophore modeling and parallel screening for PPAR ligands.
J. Comput. Aided Mol. Des., 2007

2006
Parallel Screening: A Novel Concept in Pharmacophore Modeling and Virtual Screening.
J. Chem. Inf. Model., 2006

Pharmacophore Modeling and in Silico Screening for New P450 19 (Aromatase) Inhibitors.
J. Chem. Inf. Model., 2006

High-throughput structure-based pharmacophore modelling as a basis for successful parallel virtual screening.
J. Comput. Aided Mol. Des., 2006

2005
The Identification of Ligand Features Essential for PXR Activation by Pharmacophore Modeling.
J. Chem. Inf. Model., 2005


  Loading...