Unique function words characterize genomic proteins

Proc Natl Acad Sci U S A. 2018 Jun 26;115(26):6703-6708. doi: 10.1073/pnas.1801182115. Epub 2018 Jun 12.

Abstract

Between 2009 and 2016 the number of protein sequences from known species increased 10-fold from 8 million to 85 million. About 80% of these sequences contain at least one region recognized by the conserved domain architecture retrieval tool (CDART) as a sequence motif. Motifs provide clues to biological function but CDART often matches the same region of a protein by two or more profiles. Such synonyms complicate estimates of functional complexity. We do full-linkage clustering of redundant profiles by finding maximum disjoint cliques: Each cluster is replaced by a single representative profile to give what we term a unique function word (UFW). From 2009 to 2016, the number of sequence profiles used by CDART increased by 80%; the number of UFWs increased more slowly by 30%, indicating that the number of UFWs may be saturating. The number of sequences matched by a single UFW (sequences with single domain architectures) increased as slowly as the number of different words, whereas the number of sequences matched by a combination of two or more UFWs in sequences with multiple domain architectures (MDAs) increased at the same rate as the total number of sequences. This combinatorial arrangement of a limited number of UFWs in MDAs accounts for the genomic diversity of protein sequences. Although eukaryotes and prokaryotes use very similar sets of "words" or UFWs (57% shared), the "sentences" (MDAs) are different (1.3% shared).

Keywords: domain architecture; functional profiles; genomic sequences; protein universe; shared function.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Amino Acid Sequence
  • Cluster Analysis
  • Conserved Sequence*
  • Databases, Factual
  • Genomics*
  • Humans
  • Protein Domains*
  • Sequence Alignment
  • Sequence Homology, Amino Acid
  • Software*
  • Structure-Activity Relationship