Analyzing the Topology of Active Sites: On the Prediction of Pockets and Subpockets

By Andrea Volkamer, Axel Griewel, T. Grombacher, Matthias Rarey. Journal of Chemical Information and Modeling, 2010

301 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Pharmacology

View Paper: https://www.semanticscholar.org/paper/e8d80314744336ef46c0ea7e0305b43b288c1a6a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Petr Skoda
2. Marián Novotný
3. David Hoksza
4. Radoslav Krivák
5. Lukás Jendele

In Molecular Biology

1. Petr Skoda
2. Marián Novotný
3. Radoslav Krivák
4. David Hoksza
5. Lukás Jendele

Citations in the corpus

• DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment (2012, unknown): “(Volkamer et al., 2010) Several geometric and physico-chemical properties are automatically calculated for the predicted pockets and subpockets.”
• PrankWeb: a web server for ligand binding site prediction and visualization (2019, methodology): “As an example, NGL supports visualizations in DoGSite (22) and DeepSite (23); however, while it is possible to view 3D structures in NGL, the Deep-Site and DoGSite websites lack the option to customize protein, ligand and binding site visualizations.”