Abstract

Abstract The Pfam database is a widely used resource for classifying protein sequences into families and domains. Since Pfam was last described in this journal, over 350 new families have been added in Pfam 33.1 and numerous improvements have been made to existing entries. To facilitate research on COVID-19, we have revised the Pfam entries that cover the SARS-CoV-2 proteome, and built new entries for regions that were not covered by Pfam. We have reintroduced Pfam-B which provides an automatically generated supplement to Pfam and contains 136 730 novel clusters of sequences that are not yet matched by a Pfam family. The new Pfam-B is based on a clustering by the MMseqs2 software. We have compared all of the regions in the RepeatsDB to those in Pfam and have started to use the results to build and refine Pfam repeat families. Pfam is freely available for browsing and download at http://pfam.xfam.org/.

Keywords

BiologyUniProtComputational biologyProteomeDatabaseBioinformaticsGeneticsComputer scienceGene

MeSH Terms

AnimalsCOVID-19Computational BiologyDatabasesProteinEpidemicsHumansInternetModelsMolecularProtein StructureTertiaryProteinsProteomeRepetitive SequencesAmino AcidSARS-CoV-2Sequence AnalysisProtein

Affiliated Institutions

Related Publications

Publication Info

Year
2020
Type
article
Volume
49
Issue
D1
Pages
D412-D419
Citations
7049
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

7049
OpenAlex
448
Influential
5461
CrossRef

Cite This

Jaina Mistry, Sara Chuguransky, Lowri Williams et al. (2020). Pfam: The protein families database in 2021. Nucleic Acids Research , 49 (D1) , D412-D419. https://doi.org/10.1093/nar/gkaa913

Identifiers

DOI
10.1093/nar/gkaa913
PMID
33125078
PMCID
PMC7779014

Data Quality

Data completeness: 90%