TY - JOUR
T1 - Protein Topology Prediction Algorithms Systematically Investigated in the Yeast Saccharomyces cerevisiae
AU - Weill, Uri
AU - Cohen, Nir
AU - Fadel, Amir
AU - Ben-Dor, Shifra
AU - Schuldiner, Maya
N1 - U.W. and N.C. contributed equally to this work. The authors would like to thank Ines Castro, Emma Fenech, and Nir Fluman for critical reading of the manuscript, and Dr. Jaime Prilusky for custom scripting. The Schuldiner Laboratory is supported through a Peroxisystem ERC CoG (646604), a Volkswagen foundation “Life” grant, and an SFB 1190 “Gates and contact sites” grant. M.S. is an incumbent of the Dr. Gilbert Omenn and Martha Darling Professorial Chair in Molecular Genetics.
PY - 2019/7/11
Y1 - 2019/7/11
N2 - 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: 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.
AB - 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: 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.
UR - http://www.scopus.com/inward/record.url?scp=85070093708&partnerID=8YFLogxK
U2 - 10.1002/bies.201800252
DO - 10.1002/bies.201800252
M3 - مقالة
SN - 0265-9247
VL - 41
JO - BioEssays
JF - BioEssays
IS - 8
M1 - 1800252
ER -