[1]
|
Brik, A. and Wong, C.H. (2003) HIV-1 protease: Mechanism and drug discovery. Organic & Biomolecular Chemistry, 1, 5-14. http://dx.doi.org/10.1039/b208248a
|
[2]
|
Chou, K.C. (1996) Prediction of human immunodeficiency virus protease cleavage sites in proteins. Analytical Biochemistry, 233, 1-14. http://dx.doi.org/10.1006/abio.1996.0001
|
[3]
|
Nanni, L. (2006) Comparison among feature extraction methods for HIV-1 protease cleavage site prediction. Pattern Recognition, 39, 711-713. http://dx.doi.org/10.1016/j.patcog.2005.11.002
|
[4]
|
Kawashima, S., Pokarowski, P., Pokarowska, M., Kolinski, A., Katayama, T. and Kanehisa, M. (2008) AAindex: Amino acid index database, progress report 2008. Nucleic Acids Research, 36, 202-205. http://dx.doi.org/10.1093/nar/gkm998
|
[5]
|
Niu, B., Lu, L., Liu, L., Gu, T.H., Feng, K.Y., Lu, W.C. and Cai, Y.D. (2009) HIV-1 protease cleavage site prediction based on amino acid property. Journal of Computational Chemistry, 30, 33-39. http://dx.doi.org/10.1002/jcc.21024
|
[6]
|
Du, P. and Li, Y. (2006) Prediction of protein submitochondria locations by hybridizing pseudo-amino acid composition with various physicochemical features of segmented sequence. BMC Bioinformatics, 7, 518. http://dx.doi.org/10.1186/1471-2105-7-518
|
[7]
|
Nanni, L. and Lumini, A. (2006) MppS: An ensemble of support vector machine based on multiple physicochemical properties of amino acids. Neurocomputing, 69, 1688-1690. http://dx.doi.org/10.1016/j.neucom.2006.04.001
|
[8]
|
Sarda, D., Chua, G.H., Li, K.B. and Krishnan, A. (2005) pSLIP: SVM based protein subcellular localization prediction using multiple physicochemical properties. BMC Bioinformatics, 6, 152. http://dx.doi.org/10.1186/1471-2105-6-152
|
[9]
|
Nanni, L. and Lumini, A. (2011) A new encoding technique for peptide classification. Expert Systems with Applications, 38, 3185-3191. http://dx.doi.org/10.1016/j.eswa.2010.09.005
|
[10]
|
Maclin, R. and Opitz, D. (1999) Popular ensemble methods: An empirical study. Journal of Artificial Intelligence Research, 11, 169-198.
|
[11]
|
Jain, A.K., Duin, R.P.W. and Mao, J. (2000) Statistical pattern recognition: A review. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22, 4-37. http://dx.doi.org/10.1109/34.824819
|
[12]
|
Guyon, I. and Elisseeff, A. (2003) An introduction to variable and feature selection. The Journal of Machine Learning Research, 3, 1157-1182.
|
[13]
|
He, X. and Niyogi, X. (2004) Locality preserving projections. Neural Information Processing Systems, 16, 153.
|
[14]
|
Yan, H., Yuan, X., Yan, S. and Yang, J. (2011) Correntropy based feature selection using binary projection. Pattern Recognition, 44, 2834-2842. http://dx.doi.org/10.1016/j.patcog.2011.04.014
|
[15]
|
Bradley, A.P. (1997) The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30, 1145-1159. http://dx.doi.org/10.1016/S0031-3203(96)00142-2
|
[16]
|
Powers, D.M.W. (2011) Evaluation: From precision, recall and f-measure to ROC, informedness, markedness & correlation. Journal of Machine Learning Technologies, 2, 37-63.
|
[17]
|
Cai, Y.D. and Chou, K.C. (1998) Artificial neural network model for predicting HIV protease cleavage sites in protein. Advances in Engineering Software, 29, 119-128. http://dx.doi.org/10.1016/S0965-9978(98)00046-5
|
[18]
|
You, L., Garwicz, D. and Rognvaldsson, T. (2005) Comprehensive bioinformatic analysis of the specificity of human immunodeficiency virus type 1 protease. Journal of Virology, 79, 12477-12486. http://dx.doi.org/10.1128/JVI.79.19.12477-12486.2005
|
[19]
|
Kim, H., Yoon, T.S., Zhang, Y., Dikshit, A. and Chen, S.S. (2006) Predictability of rules in HIV-1 protease cleavage site analysis. Lecture Notes in Computational Science, 3992, 830-837.
|
[20]
|
Kontijevskis, A., Wikberg, J.E. and Komorowski, J. (2007) Computational proteomics analysis of HIV-1 protease interactome. Proteins: Structure, Function, and Bioinformatics, 68, 305-312. http://dx.doi.org/10.1002/prot.21415
|