Andrea Volkamer
Molecular Biology · 2010–2023
A researcher in the Science corpus: 6 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 81 citations into it
- Computational Theory and Mathematics — 63 citations into it
- Pharmacology — 34 citations into it
- Materials Chemistry — 31 citations into it
- Spectroscopy — 12 citations into it
- Computational Biology & Bioinformatics — 11 citations into it
Whom Andrea Volkamer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Schmidtke
- Michal Brylinski
- Xavier Barril
- Jeffrey Skolnick
- S. Parasuraman
- The Uniprot Consortium
Who trusts Andrea Volkamer overall
Papers from Andrea Volkamer's perspective
Ordered by how strongly the researchers Andrea Volkamer trusts endorse each paper. Same corpus, a different order for every researcher.
- Sorafenib in advanced clear-cell renal-cell carcinoma. (New England Journal of Medicine)
- BindingDB: a web-accessible database of experimentally determined protein–ligand binding affinities
- The Protein Kinase Complement of the Human Genome (Science)
- A quantitative analysis of kinase inhibitor selectivity (Nature Biotechnology)
- Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings.
- Fast calculation of molecular polar surface area as a sum of fragment-based contributions and its application to the prediction of drug transport properties.
- PubChem's BioAssay Database
- The ChEMBL bioactivity database: an update
- Ultra-large library docking for discovering new chemotypes (Nature)
- COCONUT online: Collection of Open Natural Products database (Journal of Cheminformatics)
Their papers
- Combining Global and Local Measures for Structure-Based Druggability Predictions (2012) — 470 citations
- Analyzing the Topology of Active Sites: On the Prediction of Pockets and Subpockets (2010) — 301 citations
- CACHE (Critical Assessment of Computational Hit-finding Experiments): A public-private partnership benchmarking initiative to enable the development of computational methods for hit-finding (2021) — 83 citations
- Artificial Intelligence For Natural Product Drug Discovery (2023) — 341 citations
- KinMap: a web-based tool for interactive navigation through human kinome data (2017) — 305 citations
- DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment (2012) — 548 citations