NAR Molecular Biology Database Collection entry number 978
Sonego P., Pacurar M., Dhir S., Farkas A.T., Kocsor A., GÃ¡spÃ¡ri Z., Leunissen J.A.M. and Pongor S.
International Centre for Genetic Engineering and Biotechnology, Area Science Park, 34012 Trieste, Italy
The Protein Classification Benchmark collection (http://hydra.icgeb.trieste.it/benchmark) was created in order to provide standard datasets on which the performance of machine learning methods can be compared. It is primarily meant for methods developers and users interested in comparing methods under standardized conditions. The collection contains datasets of sequences and structures, and each set is subdivided into positive/negative, training/test sets in several ways. There is a total of 6405 classification tasks, 3297 on protein sequences, 3095 on protein structures and 10 on protein coding regions in DNA. Typical tasks include the classification of structural domains in the SCOP and CATH databases based on their sequences or structures, as well as various functional and taxonomic classification problems. In the case of hierarchical classification schemes, the classification tasks can be defined at various levels of the hierarchy (such as classes, folds, superfamilies, etc.). For each dataset there are distance matrices available that contain all vs. all comparison of the data based on various sequence or structure comparison methods, as well as a set of classification performance measures computed with various classifier algorithms.
Category: Protein sequence databases
Subcategory: Protein domain databases; protein classification
Go to the abstract in the NAR 2007 Database Issue.
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