Template-based prediction of protein function

Donald Petrey, T. Scott Chen, Lei Deng, Jose Ignacio Garzon, Howook Hwang, Gorka Lasso, Hunjoong Lee, Antonina Silkov, Barry Honig

Research output: Contribution to journalReview article

26 Scopus citations

Abstract

We discuss recent approaches for structure-based protein function annotation. We focus on template-based methods where the function of a query protein is deduced from that of a template for which both the structure and function are known. We describe the different ways of identifying a template. These are typically based on sequence analysis but new methods based on purely structural similarity are also being developed that allow function annotation based on structural relationships that cannot be recognized by sequence. The growing number of available structures of known function, improved homology modeling techniques and new developments in the use of structure allow template-based methods to be applied on a proteome-wide scale and in many different biological contexts. This progress significantly expands the range of applicability of structural information in function annotation to a level that previously was only achievable by sequence comparison.

Original languageEnglish (US)
Pages (from-to)33-38
Number of pages6
JournalCurrent Opinion in Structural Biology
Volume32
DOIs
StatePublished - Jun 1 2015
Externally publishedYes

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ASJC Scopus subject areas

  • Structural Biology
  • Molecular Biology

Cite this

Petrey, D., Chen, T. S., Deng, L., Garzon, J. I., Hwang, H., Lasso, G., Lee, H., Silkov, A., & Honig, B. (2015). Template-based prediction of protein function. Current Opinion in Structural Biology, 32, 33-38. https://doi.org/10.1016/j.sbi.2015.01.007