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Volumn 4447 LNCS, Issue , 2007, Pages 197-206

Predicting HIV protease-cleavable peptides by discrete support vector machines

Author keywords

Cleavable peptides prediction; Discrete support vector machines; HIV protease

Indexed keywords

DRUG PRODUCTS; ENZYMES; SUPPORT VECTOR MACHINES; VIRUSES;

EID: 38049033442     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-71783-6_19     Document Type: Conference Paper
Times cited : (2)

References (19)
  • 1
    • 0034284978 scopus 로고    scopus 로고
    • Identification of efficiently cleaved substrates for HIV-1 protease using a phage display library and use in inhibitor development
    • Beck, Z.Q., Hervio, L., Dawson, P.E., Elder, J.E. and Madison, E.L.: Identification of efficiently cleaved substrates for HIV-1 protease using a phage display library and use in inhibitor development. Virology 274 (2000) 391-401
    • (2000) Virology , vol.274 , pp. 391-401
    • Beck, Z.Q.1    Hervio, L.2    Dawson, P.E.3    Elder, J.E.4    Madison, E.L.5
  • 2
    • 0034818269 scopus 로고    scopus 로고
    • Molecular basis for the relative substrate specificity of human immunodeficiency virus type 1 and feline immunodeficiency virus proteases
    • Beck, Z.Q., Lin, Y.-C. and Elder, J.E.: Molecular basis for the relative substrate specificity of human immunodeficiency virus type 1 and feline immunodeficiency virus proteases. Journal of Virology 75 (2001) 9458-9469
    • (2001) Journal of Virology , vol.75 , pp. 9458-9469
    • Beck, Z.Q.1    Lin, Y.-C.2    Elder, J.E.3
  • 3
    • 0032017815 scopus 로고    scopus 로고
    • Artificial neural network model for predicting HIV protease cleavage sites in protein
    • Cai, Y., Chou, K.: Artificial neural network model for predicting HIV protease cleavage sites in protein. Advances in Engineering Software 29 (1998) 119-128
    • (1998) Advances in Engineering Software , vol.29 , pp. 119-128
    • Cai, Y.1    Chou, K.2
  • 4
    • 0037196307 scopus 로고    scopus 로고
    • Support vector machines for predicting HIV protease cleavage sites in protein
    • Cai, Y., Liu, X., Xu, X., Chou, K.: Support vector machines for predicting HIV protease cleavage sites in protein. Journal of Computational Chemistry 23 (2002) 267-74
    • (2002) Journal of Computational Chemistry , vol.23 , pp. 267-274
    • Cai, Y.1    Liu, X.2    Xu, X.3    Chou, K.4
  • 6
    • 0030049315 scopus 로고    scopus 로고
    • Prediction of human immunodeficiency virus protease cleavage sites in proteins
    • Chou, K.C.: Prediction of human immunodeficiency virus protease cleavage sites in proteins. Analytical Biochemistry 233 (1996) 1-14
    • (1996) Analytical Biochemistry , vol.233 , pp. 1-14
    • Chou, K.C.1
  • 8
    • 1842455240 scopus 로고    scopus 로고
    • Bio-support vector machines for computational proteomics
    • Yang, Z.R., Chou, K.C.: Bio-support vector machines for computational proteomics. Bioinformatics 20 (2004) 735-741
    • (2004) Bioinformatics , vol.20 , pp. 735-741
    • Yang, Z.R.1    Chou, K.C.2
  • 9
    • 32044474813 scopus 로고    scopus 로고
    • Comparison among feature extraction methods for HIV-1 protease cleavage site prediction
    • Nanni, N.: Comparison among feature extraction methods for HIV-1 protease cleavage site prediction. Pattern Recognition 39 (2006) 711-713
    • (2006) Pattern Recognition , vol.39 , pp. 711-713
    • Nanni, N.1
  • 11
    • 0141721892 scopus 로고    scopus 로고
    • Mining viral protease data to extract cleavage knowledge
    • Narayanan, A., Wu, X., Yang, Z.R.: Mining viral protease data to extract cleavage knowledge. Bioinformatics 18 (2002) 15-13
    • (2002) Bioinformatics , vol.18 , pp. 15-13
    • Narayanan, A.1    Wu, X.2    Yang, Z.R.3
  • 12
    • 1642263475 scopus 로고    scopus 로고
    • Multivariate classification trees based on minimum features discrete support vector machines
    • Orsenigo, C., Vercellis, C.: Multivariate classification trees based on minimum features discrete support vector machines. IMA Journal of Management Mathematics 14 (2003) 221-234
    • (2003) IMA Journal of Management Mathematics , vol.14 , pp. 221-234
    • Orsenigo, C.1    Vercellis, C.2
  • 14
    • 0026345896 scopus 로고
    • A cumulative specificity model for proteases from human immunodeficiency virus types 1 and 2, inferred from statistical analysis of an extended substrate data base
    • Poorman, R., Tomasselli, A., Heinrikson, R., Kezdy, F.: A cumulative specificity model for proteases from human immunodeficiency virus types 1 and 2, inferred from statistical analysis of an extended substrate data base. The Journal of Biological Chemistry 266 (1991) 14554-14561
    • (1991) The Journal of Biological Chemistry , vol.266 , pp. 14554-14561
    • Poorman, R.1    Tomasselli, A.2    Heinrikson, R.3    Kezdy, F.4
  • 15
    • 4444262024 scopus 로고    scopus 로고
    • Why neural networks should not be used for HIV-1 protease cleavage site prediction
    • Rögnvaldsson, T., You, L.: Why neural networks should not be used for HIV-1 protease cleavage site prediction. Bioinformatics 20 (2004) 1702-1709
    • (2004) Bioinformatics , vol.20 , pp. 1702-1709
    • Rögnvaldsson, T.1    You, L.2
  • 16
    • 0014211618 scopus 로고    scopus 로고
    • Schechter, I., Berger, A.: On the size of the active site in proteases. I. Papain. Biochemical and Biophysical Research Communications 27 (1967) 157-162
    • Schechter, I., Berger, A.: On the size of the active site in proteases. I. Papain. Biochemical and Biophysical Research Communications 27 (1967) 157-162
  • 17
    • 0029595415 scopus 로고
    • Neural network prediction of the hiv-1 protease cleavage sites
    • Thompson, T., Chou, K., Zheng, C.: Neural network prediction of the hiv-1 protease cleavage sites. Journal of Theoretical Biology 177 (1995) 369-379
    • (1995) Journal of Theoretical Biology , vol.177 , pp. 369-379
    • Thompson, T.1    Chou, K.2    Zheng, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.