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nuclear receptors ligands and structures benchmarking database.
The NRLiSt is an exhaustive, NR-focused, benchmarking database.
MDockPeP was tested on the peptiDB benchmarking database using both bound and unbound protein structures.
Our first dataset is the manually curated nuclear receptors ligands and structures benchmarking database [20] (NRLiSt BDB2).
The NRLiSt BDB [33] is a freely available benchmarking database for both SB and LB methods evaluation and dedicated to the NRs.
Then the methodology was generalized to a test protein, Cdk2, and to the 102 protein targets of a benchmarking database, the database of useful decoys-enhanced (DUD-E) [17, 18].
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Experimental results on benchmarking databases demonstrate the effectiveness of the proposed method.
The latter conducted on benchmarking databases, including the challenging labelled faces in the wild (LFW) database show the outstanding potential of the proposed method, which consistently achieves state-of-the-art performance in standard benchmarking tests.
HMAX has traditionally been tested with benchmarking databases such as the CalTech-101 and CalTech-256 (Griffin et al. 2007) in which sets of images from different categories are to be classified.
As this project was undertaken to improve the quality of an already existing evidence-based process and benchmarking databases, the Research Ethics Board at Sunnybrook Health Sciences Centre waived the need for its review.
The results are very useful benchmark database for computational wind engineering studies.
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