Sequence–structure relationship study in all-α transmembrane proteins using an unsupervised learning approach-Reference-Cited by-同舟云学术

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Sequence–structure relationship study in all-α transmembrane proteins using an unsupervised learning approach

Published:2015-06-05 Issue:11 Volume:47 Page:2303-2322
ISSN:0939-4451
Container-title:Amino Acids
language:en
Short-container-title:Amino Acids

Author:

Esque Jérémy,Urbain Aurélie,Etchebest Catherine,de Brevern Alexandre G.

Funder

Ministry of Research (France)

University Paris Diderot, Sorbonne, Paris Cité (France)

National Institute for Blood Transfusion (INTS, France)

National Institute for Health and Medical Research (INSERM, France)

labex GR-Ex

National Institute for Agricultural Research (INRA, France)

National Center for Scientific Research (CNRS)

Publisher

Springer Science and Business Media LLC

Subject

Organic Chemistry,Clinical Biochemistry,Biochemistry

Link

http://link.springer.com/content/pdf/10.1007/s00726-015-2010-5.pdf

Reference99 articles.

1. Arinaminpathy Y, Khurana E, Engelman DM, Gerstein MB (2009) Computational analysis of membrane proteins: the largest class of drug targets. Drug Discov Today 14(23–24):1130–1135. doi: 10.1016/j.drudis.2009.08.006

2. Bansal M, Kumar S, Velavan R (2000) HELANAL: a program to characterize helix geometry in proteins. J Biomol Struct Dyn 17(5):811–819. doi: 10.1080/07391102.2000.10506570

3. Benros C, de Brevern AG, Etchebest C, Hazout S (2006) Assessing a novel approach for predicting local 3D protein structures from sequence. Proteins 62(4):865–880. doi: 10.1002/prot.20815

4. Berman HM, Westbrook J, Feng Z, Gilliland G, Bhat TN, Weissig H, Shindyalov IN, Bourne PE (2000) The protein data bank. Nucleic Acids Res 28(1):235–242 (gkd090 [pii])

5. Bornot A, Etchebest C, de Brevern AG (2009) A new prediction strategy for long local protein structures using an original description. Proteins 76(3):570–587. doi: 10.1002/prot.22370

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