Inference of Functional Properties from Large-scale Analysis of Enzyme Superfamilies*

As increasingly large amounts of data from genome and other sequencing projects become available, new approaches are needed to determine the functions of the proteins these genes encode. We show how large-scale computational analysis can help to address this challenge by linking functional information to sequence and structural similarities using protein similarity networks. Network analyses using three functionally diverse enzyme superfamilies illustrate the use of these approaches for facile updating and comparison of available structures for a large superfamily, for creation of functional hypotheses for metagenomic sequences, and to summarize the limits of our functional knowledge about even well studied superfamilies.

• Publication year

  2011

• Venue

  Journal of Biological Chemistry

• Publication date

  2011-11-08

• Fields of study

  Biology, Medicine, Computer Science

• Identifiers
  DOI 10.1074/jbc.R111.283408PMID 22069325PMCID PMC3249087
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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