Demo Data from EDBT 2026 / reviewers in the wild / expert
Theo Walker
dblp:33/8887
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 4 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › molecular informatics
cheminformatics |
0.1 | 1 | 2010 | Chembench: a cheminformatics workbench · Bioinform. 2010 |
Bioinformatics and computational biology › drug discovery
compound prioritization |
0.1 | 1 | 2010 | Chembench: a cheminformatics workbench · Bioinform. 2010 |
Bioinformatics and computational biology › molecular property prediction
quantitative structure-activity relationship modeling |
0.1 | 1 | 2010 | Chembench: a cheminformatics workbench · Bioinform. 2010 |
Bioinformatics and computational biology › drug discovery
virtual screening |
0.1 | 1 | 2010 | Chembench: a cheminformatics workbench · Bioinform. 2010 |
Methods — techniques the papers use, named apart from their topics
predictive model validation · 0.1QSAR modeling · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Chembench: a cheminformatics workbenchabstractMOTIVATION: Advances in the field of cheminformatics have been hindered by a lack of freely available tools. We have created Chembench, a publicly available cheminformatics portal for analyzing experimental chemical structure-activity data. Chembench provides a broad range of tools for data visualization and embeds a rigorous workflow for creating and validating predictive Quantitative Structure-Activity Relationship models and using them for virtual screening of chemical libraries to prioritize the compound selection for drug discovery and/or chemical safety assessment. AVAILABILITY: Freely accessible at: http://chembench.mml.unc.edu CONTACT: [email protected] Theo Walker, Christopher M. Grulke, Diane Pozefsky, Alexander Tropsha |
Bioinform. | 1 |