PiPred – a deep-learning method for prediction of π-helices in protein sequences
Author:
Funder
Narodowe Centrum Nauki
Max-Planck-Gesellschaft
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://www.nature.com/articles/s41598-019-43189-4.pdf
Reference40 articles.
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2. Ramachandran, G. N. & Sasisekharan, V. Conformation of polypeptides and proteins. Adv. Protein Chem. 23, 283–438 (1968).
3. Rohl, C. A. & Doig, A. J. Models for the 3(10)-helix/coil, pi-helix/coil, and alpha-helix/3(10)-helix/coil transitions in isolated peptides. Protein Sci. 5, 1687–96 (1996).
4. Cartailler, J.-P. & Luecke, H. Structural and functional characterization of pi bulges and other short intrahelical deformations. Structure 12, 133–44 (2004).
5. Ren, Z., Ren, P. X., Balusu, R. & Yang, X. Transmembrane Helices Tilt, Bend, Slide, Torque, and Unwind between Functional States of Rhodopsin. Sci. Rep. 6, 34129 (2016).
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