TMKink: a method to predict transmembrane helix kinks.

@article{Meruelo2011TMKinkAM,
  title={TMKink: a method to predict transmembrane helix kinks.},
  author={Alejandro D Meruelo and Ilan Samish and James U. Bowie},
  journal={Protein science : a publication of the Protein Society},
  year={2011},
  volume={20 7},
  pages={1256-64}
}
A hallmark of membrane protein structure is the large number of distorted transmembrane helices. Because of the prevalence of bends, it is important to not only understand how they are generated but also to learn how to predict their occurrence. Here, we find that there are local sequence preferences in kinked helices, most notably a higher abundance of proline, which can be exploited to identify bends from local sequence information. A neural network predictor identifies over two-thirds of all… CONTINUE READING

From This Paper

Topics from this paper.
19 Citations
0 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 19 extracted citations

Similar Papers

Loading similar papers…