Voigt CA, Gordon DB, Mayo SL (2000). «Trading accuracy for speed: A quantitative comparison of search algorithms in protein sequence design». J Mol Biol299 (3): 789-803. PMID10835284. doi:10.1006/jmbi.2000.3758. Entrez PubMed10835284.
Chou KC, Zhang CT (1995). «Prediction of protein structural classes». Crit. Rev. Biochem. Mol. Biol.30 (4): 275-349. PMID7587280. doi:10.3109/10409239509083488.
Chen C, Zhou X, Tian Y, Zou X, Cai P (octubre de 2006). «Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network». Anal. Biochem.357 (1): 116-21. PMID16920060. doi:10.1016/j.ab.2006.07.022.
Chen C, Tian YX, Zou XY, Cai PX, Mo JY (diciembre de 2006). «Using pseudo-amino acid composition and support vector machine to predict protein structural class». J. Theor. Biol.243 (3): 444-8. PMID16908032. doi:10.1016/j.jtbi.2006.06.025.
Lin H, Li QZ (julio de 2007). «Using pseudo amino acid composition to predict protein structural class: approached by incorporating 400 dipeptide components». J Comput Chem28 (9): 1463-6. PMID17330882. doi:10.1002/jcc.20554.
Xiao X, Wang P, Chou KC (octubre de 2008). «Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image». J. Theor. Biol.254 (3): 691-6. PMID18634802. doi:10.1016/j.jtbi.2008.06.016.
Chou KC, Cai YD (septiembre de 2004). «Predicting protein structural class by functional domain composition». Biochem. Biophys. Res. Commun.321 (4): 1007-9. PMID15358128. doi:10.1016/j.bbrc.2004.07.059.
Debe DA, Danzer JF, Goddard WA, Poleksic A (2006). «STRUCTFAST: Protein sequence remote homology detection and alignment using novel dynamic programming and profile-profile scoring». Proteins64 (4): 960-967. PMID16786595. doi:10.1002/prot.21049. Entrez PubMed16786595.
Sivasubramanian A, Sircar A, Chaudhury S, Gray J J (2009). «Toward high-resolution homology modeling of antibody Fv regions and application to antibody–antigen docking». Proteins74 (2): 497-514. PMID19062174. doi:10.1002/prot.22309.
Dor O, Zhou Y. (2006). Achieving 80% tenfold cross-validated accuracy for secondary structure prediction by large-scale training. Proteins Epub. PMID 17177203
Pham TH, Satou K, Ho TB. (2005). Support vector machines for prediction and analysis of beta and gamma-turns in proteins. J Bioinform Comput Biol 3(2):343-58. PMID 15852509
Zhang Q, Yoon S, Welsh WJ. (2005). Improved method for predicting beta-turn using support vector machine. Bioinformatics 21(10):2370-4. PMID 15797917
Zimmermann O, Hansmann UH. (2006). Support vector machines for prediction of dihedral angle regions. Bioinformatics 22(24):3009-15. PMID 17005536
Kuang R, Leslie CS, Yang AS. (2004). Protein backbone angle prediction with machine learning approaches. Bioinformatics 20(10):1612-21. PMID 14988121
Zhong L, Johnson WC Jr. (1992). Environment affects amino acid preference for secondary structure. Proc Natl Acad Sci USA 89(10):4462-5. PMID 1584778
Macdonald JR, Johnson WC Jr. (2001). Environmental features are important in determining protein secondary structure. Protein Sci. 10(6):1172-7. PMID 11369855
Costantini S, Colonna G, Facchiano AM. (2006). Amino acid propensities for secondary structures are influenced by the protein structural class. Biochem Biophys Res Commun. 342(2):441-51. PMID 16487481
Marashi SA, et al. (2007). Adaptation of proteins to different environments: a comparison of proteome structural properties in Bacillus subtilis and Escherichia coli. J Theor Biol 244(1):127-32. PMID 16945389
Costantini S, Colonna G, Facchiano AM. (2007). PreSSAPro: a software for the prediction of secondary structure by amino acid properties. Comput Biol Chem 31(5-6):389-92. PMID 17888742
Momen-Roknabadi A, et al. (2008). Impact of residue accessible surface area on the prediction of protein secondary structures. BMC Bioinformatics. 9:357. PMID 18759992
Adamczak R, Porollo A, Meller J. (2005). Combining prediction of secondary structure and solvent accessibility in proteins. Proteins 59(3):467-75. PMID 15768403
Voigt CA, Gordon DB, Mayo SL (2000). «Trading accuracy for speed: A quantitative comparison of search algorithms in protein sequence design». J Mol Biol299 (3): 789-803. PMID10835284. doi:10.1006/jmbi.2000.3758. Entrez PubMed10835284.
Chou KC, Zhang CT (1995). «Prediction of protein structural classes». Crit. Rev. Biochem. Mol. Biol.30 (4): 275-349. PMID7587280. doi:10.3109/10409239509083488.
Chen C, Zhou X, Tian Y, Zou X, Cai P (octubre de 2006). «Predicting protein structural class with pseudo-amino acid composition and support vector machine fusion network». Anal. Biochem.357 (1): 116-21. PMID16920060. doi:10.1016/j.ab.2006.07.022.
Chen C, Tian YX, Zou XY, Cai PX, Mo JY (diciembre de 2006). «Using pseudo-amino acid composition and support vector machine to predict protein structural class». J. Theor. Biol.243 (3): 444-8. PMID16908032. doi:10.1016/j.jtbi.2006.06.025.
Lin H, Li QZ (julio de 2007). «Using pseudo amino acid composition to predict protein structural class: approached by incorporating 400 dipeptide components». J Comput Chem28 (9): 1463-6. PMID17330882. doi:10.1002/jcc.20554.
Xiao X, Wang P, Chou KC (octubre de 2008). «Predicting protein structural classes with pseudo amino acid composition: an approach using geometric moments of cellular automaton image». J. Theor. Biol.254 (3): 691-6. PMID18634802. doi:10.1016/j.jtbi.2008.06.016.
Chou KC, Cai YD (septiembre de 2004). «Predicting protein structural class by functional domain composition». Biochem. Biophys. Res. Commun.321 (4): 1007-9. PMID15358128. doi:10.1016/j.bbrc.2004.07.059.
Debe DA, Danzer JF, Goddard WA, Poleksic A (2006). «STRUCTFAST: Protein sequence remote homology detection and alignment using novel dynamic programming and profile-profile scoring». Proteins64 (4): 960-967. PMID16786595. doi:10.1002/prot.21049. Entrez PubMed16786595.
Sivasubramanian A, Sircar A, Chaudhury S, Gray J J (2009). «Toward high-resolution homology modeling of antibody Fv regions and application to antibody–antigen docking». Proteins74 (2): 497-514. PMID19062174. doi:10.1002/prot.22309.