TIGRFAMs: a protein family resource for the functional identification of proteins | Zendy

Daniel H. Haft | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

TIGRFAMs: a protein family resource for the functional identification of proteins

Author(s) -

Daniel H. Haft

Publication year - 2001

Publication title -

nucleic acids research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 9.008

H-Index - 537

eISSN - 1362-4954

pISSN - 0305-1048

DOI - 10.1093/nar/29.1.41

Subject(s) - biology , computational biology , homology (biology) , protein family , protein superfamily , genetics , conserved sequence , genome , sequence alignment , protein domain , structural classification of proteins database , threading (protein sequence) , protein function prediction , protein sequencing , peptide sequence , protein function , gene , protein structure , biochemistry

TIGRFAMs is a collection of protein families featuring curated multiple sequence alignments, hidden Markov models and associated information designed to support the automated functional identification of proteins by sequence homology. We introduce the term 'equivalog' to describe members of a set of homologous proteins that are conserved with respect to function since their last common ancestor. Related proteins are grouped into equivalog families where possible, and otherwise into protein families with other hierarchically defined homology types. TIGRFAMs currently contains over 800 protein families, available for searching or downloading at www.tigr.org/TIGRFAMs. Classification by equivalog family, where achievable, complements classification by orthology, superfamily, domain or motif. It provides the information best suited for automatic assignment of specific functions to proteins from large-scale genome sequencing projects.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research