ArchDB: automated protein loop classification as a tool for structural genomics

Jordi Espadaler, Narcis Fernandez-Fuentes, Antonio Hermoso, Enrique Querol, Francesc X. Aviles, Michael J. E. Sternberg, Baldomero Oliva

Research output: Contribution to journalArticlepeer-review

61 Citations (SciVal)


The annotation of protein function has become a crucial problem with the advent of sequence and structural genomics initiatives. A large body of evidence suggests that protein structural information is frequently encoded in local sequences, and that folds are mainly made up of a number of simple local units of super-secondary structural motifs, consisting of a few secondary structures and their connecting loops. Moreover, protein loops play an important role in protein function. Here we present ArchDB, a classification database of structural motifs, consisting of one loop plus its bracing secondary structures. ArchDB currently contains 12,665 super-secondary elements classified into 1496 motif subclasses. The database provides an easy way to retrieve functional information from protein structures sharing a common motif, to search motifs found in a given SCOP family, superfamily or fold, or to search by keywords on proteins with classified loops. The ArchDB database of loops is located at
Original languageEnglish
Pages (from-to)D185-D188
JournalNucleic Acids Research
Issue numberSuppl. 1
Publication statusPublished - 2004


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