2014, Vol. 42, Database issue | Robert D. Finn, Alex Bateman, Jody Clements, Penelope Coggill, Ruth Y. Eberhardt, Sean R. Eddy, Andreas Heger, Kirstie Hetherington, Liisa Holm, Jaina Mistry, Erik L. L. Sonnhammer, John Tate and Marco Punta
Pfam is a widely used database of curated protein families, available via servers in the UK and the USA. The current release, version 27.0, contains 14,831 manually curated entries, with 1,182 new families added since the last update. Pfam maintains nearly 80% sequence coverage of the UniProt Knowledgebase (UniProtKB) despite a 50% increase in the underlying sequence database. The database provides various features, including family alignments based on four different representative proteome sequence data sets and an interactive DNA search interface. Pfam also discusses the mapping between its entries and known 3D structures. Recent changes include the removal of dubious sequences, improvements in alignment visualization, and the introduction of faster interactive DNA searches. Pfam continues to evolve to meet the changing demands of computational biology, focusing on adding new families, improving existing ones, and enhancing accessibility.Pfam is a widely used database of curated protein families, available via servers in the UK and the USA. The current release, version 27.0, contains 14,831 manually curated entries, with 1,182 new families added since the last update. Pfam maintains nearly 80% sequence coverage of the UniProt Knowledgebase (UniProtKB) despite a 50% increase in the underlying sequence database. The database provides various features, including family alignments based on four different representative proteome sequence data sets and an interactive DNA search interface. Pfam also discusses the mapping between its entries and known 3D structures. Recent changes include the removal of dubious sequences, improvements in alignment visualization, and the introduction of faster interactive DNA searches. Pfam continues to evolve to meet the changing demands of computational biology, focusing on adding new families, improving existing ones, and enhancing accessibility.