Novel Perspectives on Protein Structure Prediction-Reference-Cited by-同舟云学术

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Novel Perspectives on Protein Structure Prediction

Published:2010 Issue: Volume: Page:179-207
ISSN:
Container-title:Problem Solving Handbook in Computational Biology and Bioinformatics
language:
Short-container-title:

Author:

Berger Bonnie,Waldispühl Jéerôme

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-0-387-09760-2_9.pdf

Reference85 articles.

1. Abe, N., Mamitsuka, H.: Predicting protein secondary structure using stochastic tree grammars. Machine Learning 29(2-3), 275–301 (1997)

2. Ahn, V.E., Lo, E.I., Engel, C.K., Chen, L., Hwang, P.M., Kay, L.E., Bishop, R.E., Prive, G.G.: A hydrocarbon ruler measures palmitate in the enzymatic acylation of endotoxin. EMBO J 23(15), 2931–2941 (2004 Aug 4)

3. Amato, N., Dill, K., Song, G.: Using motion planning to map protein folding landscapes and analyze folding kinetics of known native structures. Journal of Computational Biology 10(3-4), 239–255 (2003)

4. Bartlett, A.I., Radford, S.E.: An expanding arsenal of experimental methods yields an explosion of insights into protein folding mechanisms. Nat Struct Mol Biol 16(6), 582–588 (2009)

5. Bayrhuber, M., Meins, T., Habeck, M., Becker, S., Giller, K., Villinger, S., Vonrhein, C., Griesinger, C., Zweckstetter, M., Zeth, K.: Structure of the human voltage-dependent anion channel. Proc Natl Acad Sci U S A 105(40), 15,370–15,375 (2008 Oct 7)

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