Protein Bioinformatics Research Group

High throughput topology determination

Although theoretical protein topology prediction methods have high accuracy, they can predict the topology correctly for only 70-80% of the proteome. Unfortunately molecular biology experimental techniques applied in the verification of the predicted transmembrane protein topology (e. g. epitope insertion, examination of glycosylation state) are very slow and expensive. Furthermore, if modification happens at an inadequate site (functional sites, membrane-embedded regions, etc.) experimental results may prove difficult to interpret or may even be misleading. However, incorporating the results of well performed experiments as constraints into the hidden Markov model based topology prediction methods will make our prediction notably more accurate. This prediction then may be utilized during the design of further experiments.

People working on this project

Gábor E. Tusnády

Collaborating partners

Gergely Szakács
Institute of Enzymology, RCNS, HUN-REN
Beáta G Vértessy
Institute of Enzymology, RCNS, HUN-REN
Katalin Folk Medzihradszky
Laboratorium of Proteomics Research, BRC, HUN-REN

Related publications

News

2020-06-02 - Paper published
2019-03-08 - PhD degree
2019-02-07 - Paper published
2018-11-14 - Scientific Students' Association third prize
2018-10-30 - Paper published