Learn to use the Pfam resource, a comprehensive database of protein families manually created from multiple sequence alignments and hidden Markov models. Pfam family reports contain a lot of information about the Pfam family and the proteins that make up the family, including any available structural information. Domain descriptions provide any available functional information, including Gene Ontology hierarchical terms. This database of protein families is a vital resource for any researcher studying protein interactions or families.

You will learn:

  • different ways to search Pfam, including by keyword or by protein sequence
  • how to use the information in Pfam to predict functions for uncharacterized proteins
  • where you can access domain interaction data in Pfam
  • how to explore Pfam Clans, which are groups of domains from a single evolutionary origin
TUTORIAL RELATED CONTENT

TUTORIALS

This tutorial is a part of the tutorial group Protein-centric and protein structure resources. You might find the other tutorials in the group interesting:

UniProt: UniProt, Universal Protein Resource

RCSB PDB: RCSB Protein Data Bank

MMDB: Molecular Modeling Database at NCBI

Entrez Protein: NCBI's Entrez Protein for amino acid-centric information

Structural Biology Knowledgebase: The Protein Structure Initiative Structural Biology Knowledgebase

CATEGORIES

Proteins : Tools that are primarily used in the storage, retrieval, or exploration of amino acid based data. Some tools may also involve nucleotide sequence information.

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BIOMED CENTRAL

Recent BioMed Central research articles citing this resource

Matassi Giorgio et al., Horizontal gene transfer drives the evolution of Rh50 permeases in prokaryotes Phylogenetics and phylogeography. BMC Evolutionary Biology (2017) doi:10.1186/s12862-016-0850-6

Jose Lyju V. et al., Metagenomic insights into the rumen microbial fibrolytic enzymes in Indian crossbred cattle fed finger millet straw. AMB Express (2017) doi:10.1186/s13568-016-0310-0

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Ye Jiang et al., An integrated analysis of QTL mapping and RNA sequencing provides further insights and promising candidates for pod number variation in rapeseed ( Brassica napus L.) Plant genomics. BMC Genomics (2017) doi:10.1186/s12864-016-3402-y

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