Protein Bioinformatics Research Group

Topology prediction algorithms

The group leader has been engaged in sequence analysis of transmembrane proteins since the end of the 1990s and achieved remarkable results in the field of topology prediction. In a recent research, we developed an algorithm that incorporates the prediction results of the most accurate state-of-the-art prediction methods as well as experimentally established topology data and other computational biology results. The developed constrained, consensus prediction method (CCTOP) is the most accurate prediction method so far, therefore it was used for creating the human transmembrane proteome (HTP database).

People working on this project

Gábor E. Tusnády
László Dobson

Related publications

1. Dobson, L, Szekeres, LI, Gerdán, C, Langó, T, Zeke, A and Tusnády, GE (2023) TmAlphaFold database: membrane localization and evaluation of AlphaFold2 predicted alpha-helical transmembrane protein structures. Nucleic Acids Res 51: D517-D522.
2. Dobson, L, Reményi, I and Tusnády, GE (2015) The human transmembrane proteome. Biol Direct 10: 31.
3. Dobson, L, Reményi, I and Tusnády, GE (2015) CCTOP: a Consensus Constrained TOPology prediction web server. Nucleic Acids Res 43: W408-12.
4. Tusnády, GE and Simon, I (2001) The HMMTOP transmembrane topology prediction server. Bioinformatics 17: 849-50.
5. Tusnády, GE and Simon, I (1998) Principles governing amino acid composition of integral membrane proteins: application to topology prediction. J Mol Biol 283: 489-506.
6. Dobson, L, Gerdán, C, Tusnády, S, Szekeres, LI, Kuffa, KR, Langó, T, Zeke, A and Tusnády, GE (2024) UniTmp: unified resources for transmembrane proteins. Nucleic Acids Res 52: D572-D578.

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