Dinosolve: a protein disulfide bonding prediction server using context-based features to enhance prediction accuracy
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology
Link
http://link.springer.com/content/pdf/10.1186/1471-2105-14-S13-S9.pdf
Reference28 articles.
1. Chuang C, Chen C, Yang J, Lyu P, Hwang J: Relationship between protein structures and disulfide-bonding patterns. Proteins. 2003, 53 (1): 1-5. 10.1002/prot.10492.
2. Fass D: Disulfide Bonding in Protein Biophysics. Annu Rev Biophys. 2012, 41: 63-79. 10.1146/annurev-biophys-050511-102321.
3. Muskal S, Holbrook S, Kim S: Prediction of the disulfide-bonding state of cysteine in proteins. Protein Engineering. 1990, 3 (8): 667-672. 10.1093/protein/3.8.667.
4. Fiser A, Cserzo M, Tudos E, Simon I: Different sequence environments of cysteines and half cystines in proteins: Application to predict disulfide forming residues. FEBS Letters. 1992, 302: 117-120. 10.1016/0014-5793(92)80419-H.
5. Fariselli P, Riccobelli P, Casadio R: Role of evolutionary information in predicting the disulfide-bonding state of cysteine in proteins. Proteins: Structure, Function, and Genetics. 1999, 36: 340-346. 10.1002/(SICI)1097-0134(19990815)36:3<340::AID-PROT8>3.0.CO;2-D.
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