Topology Prediction of α-Helical Transmembrane Proteins

By Christoph Peters. 2016

33 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Michael Heinzinger
2. Ahmed Elnaggar
3. Christian Dallago
4. Yu Wang
5. Florian Matthes
6. Burkhard Rost
7. Dmitrii Nachaev
8. Avner Schlessinger

Citations in the corpus

• The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides (2015, unknown): “Along these lines, several algorithms for the prediction of α-helical transmembrane protein topology exist, either as single-sequence-based methods (8-16) or with the inclusion of homologous sequences in the prediction process (17-22).”
• Modeling the language of life – Deep Learning Protein Sequences (2019, background): “Other objectives that used the same idea included the prediction of transmembrane regions [11-13], solvent accessibility [14], residue flexibility (B-values) [15, 16], inter-residue contacts [17] and protein disorder [15, 18-20].”