VLDB 2026 Research / reviewers in the wild / expert
Mathias Dunkel
dblp:51/5844
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0002-6642-483XORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
drug discovery |
0.1 | 1 | 2005 | SuperDrug: a conformational drug database · Bioinform. 2005 |
Bioinformatics and computational biology › drug discovery
anatomical therapeutic chemical classification |
0.0 | 1 | 2005 | SuperDrug: a conformational drug database · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
tanimoto coefficient · 0.13d superposition · 0.12d similarity screening · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | SuperDrug: a conformational drug databaseabstractMOTIVATION: Different resources exist for experimentally determined and computed three-dimensional (3D)-structures of low molecular weight structures but for approved drugs, no free, publicly accessible source of 3D-structures and conformers is available. Furthermore, for selection purposes or for correlation of structural similarity with medical application, the assignment of the Anatomical Therapeutic Chemical (ATC) classification codes to each structure according to the WHO-scheme would be desirable. RESULTS: The database contains approximately 2500 3D-structures of active ingredients of essential marketed drugs. To account for structural flexibility they are represented by 10(5) structural conformers. Here we present a web-query system enabling searches for drug name, synonyms, trade name, trivial name, formula, CAS-number, ATC-code etc. 2D-similarity screening (Tanimoto coefficients) and an automatic 3D-superposition procedure based on conformational representation are implemented. Drug structures above a similarity threshold as well as superimposed conformers can be retrieved in the mol- file format via a graphical interface. AVAILABILITY: For academic use the system is accessible at http://bioinf.charite.de/superdrug. The retrieval system requires the free browser-plugin 'chime' from MDL for visualization. Andrean Goede, Mathias Dunkel, Nina Mester, Cornelius Frömmel, Robert Preissner |
Bioinform. | 2 |
| 2005 | SuperLigands - a database of ligand structures derived from the Protein Data BankabstractBACKGROUND: Currently, the PDB contains approximately 29,000 protein structures comprising over 70,000 experimentally determined three-dimensional structures of over 5,000 different low molecular weight compounds. Information about these PDB ligands can be very helpful in the field of molecular modelling and prediction, particularly for the prediction of protein binding sites and function. DESCRIPTION: Here we present an Internet accessible database delivering PDB ligands in the MDL Mol file format which, in contrast to the PDB format, includes information about bond types. Structural similarity of the compounds can be detected by calculation of Tanimoto coefficients and by three-dimensional superposition. Topological similarity of PDB ligands to known drugs can be assessed via Tanimoto coefficients. CONCLUSION: SuperLigands supplements the set of existing resources of information about small molecules bound to PDB structures. Allowing for three-dimensional comparison of the compounds as a novel feature, this database represents a valuable means of analysis and prediction in the field of biological and medical research. Elke Michalsky, Mathias Dunkel, Andrean Goede, Robert Preissner |
BMC Bioinform. | 2 |