The Pfam database is a large collection of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs).
Proteins are generally composed of one or more functional regions, commonly termed domains. Different combinations of domains give rise to the diverse range of proteins found in nature. The identification of domains that occur within proteins can therefore provide insights into their function.
Pfam also generates higher-level groupings of related entries, known as clans. A clan is a collection of Pfam entries which are related by similarity of sequence, structure or profile-HMM.
The data presented for each entry is based on the UniProt Reference Proteomes but information on individual UniProtKB sequences can still be found by entering the protein accession. Pfam full alignments are available from searching a variety of databases, either to provide different accessions (e.g. all UniProt and NCBI GI) or different levels of redundancy.
Paste your protein sequence here to find matching Pfam entries.
This search will use and an E-value of 1.0. You can set your own search parameters and perform a range of other searches here.
Enter a entry identifier (e.g. Piwi) or accession (e.g. PF02171) to see all data for that entry.
Enter a clan identifier (e.g. Kazal) or accession (e.g. CL0005) to see information about that clan.
Enter a sequence identifier (e.g. VAV_HUMAN) or accession (e.g. P15498).
Enter the PDB identifier (e.g. 2abl) for the structure in the Protein DataBank.
Search for keywords in text data in the Pfam database.
If you find Pfam useful, please consider citing the reference that describes this work:
You have hidden the blog posts section. You can restore it.