Category:Benchmarks: Difference between revisions
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Latest revision as of 05:43, 13 March 2014
Benchmarking sets are important for testing virtual screening algorithms. There are several kinds of benchmarking sets for several separate kinds of tests. Pose Prediction test sets are drawn from crystal structures in the PDB. Here the goal is to have the docking program reproduce the crystal structure. Enrichment test sets test the ability of a virtual screening program to enrich known actives relative to assumed (or known) decoys. Pattern Matching test sets are used for testing substructure based methods of enrichment.
Pose Prediction
Enrichment
Activity Data
Aggregator Data
Other seful sources of information
Subcategories
This category has the following 2 subcategories, out of 2 total.
B
- Benchmarking (1 P)
Pages in category "Benchmarks"
The following 7 pages are in this category, out of 7 total.