Protein Topology Prediction Algorithms Systematically Investigated in the Yeast Saccharomyces cerevisiae

Bioessays. 2019 Aug;41(8):e1800252. doi: 10.1002/bies.201800252. Epub 2019 Jul 11.

Abstract

Membrane proteins perform a variety of functions, all crucially dependent on their orientation in the membrane. However, neither the exact number of transmembrane domains (TMDs) nor the topology of most proteins have been experimentally determined. Due to this, most scientists rely primarily on prediction algorithms to determine topology and TMD assignments. Since these can give contradictory results, single-algorithm-based predictions are unreliable. To map the extent of potential misanalysis, the predictions of nine algorithms on the yeast proteome are compared and it is found that they have little agreement when predicting TMD number and termini orientation. To view all predictions in parallel, a webpage called TopologYeast: http://www.weizmann.ac.il/molgen/TopologYeast was created. Each algorithm is compared with experimental data and a poor agreement is found. The analysis suggests that more systematic data on protein topology are required to increase the training sets for prediction algorithms and to have accurate knowledge of membrane protein topology.

Keywords: membrane proteins; prediction algorithms; termini orientation; transmembrane domains; yeast.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Computational Biology
  • Membrane Proteins / metabolism*
  • Proteome*
  • Saccharomyces cerevisiae / genetics*
  • Saccharomyces cerevisiae Proteins / metabolism*

Substances

  • Membrane Proteins
  • Proteome
  • Saccharomyces cerevisiae Proteins