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Volumn 1, Issue 3, 2007, Pages 145-160

Modelling molecular interaction pathways using a two-stage identification algorithm

Author keywords

Brusselator; Iterative approach; MAPK; Signal transduction; Structure selection; Subset selection; System identification; Systems biology

Indexed keywords


EID: 41349095866     PISSN: 18725325     EISSN: 18725333     Source Type: Journal    
DOI: 10.1007/s11693-008-9012-5     Document Type: Article
Times cited : (20)

References (45)
  • 1
    • 0016355478 scopus 로고
    • New look at the statistical model identification
    • Akaike H (1974) New look at the statistical model identification. IEEE Trans Automat Control AC-19(6):716-723
    • (1974) IEEE Trans Automat Control , vol.AC-19 , Issue.6 , pp. 716-723
    • Akaike, H.1
  • 3
    • 0035090747 scopus 로고    scopus 로고
    • An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization
    • Andre J, Siarry P, Dognon T (2001) An improvement of the standard genetic algorithm fighting premature convergence in continuous optimization. Adv Eng Softw 32:49-60
    • (2001) Adv Eng Softw , vol.32 , pp. 49-60
    • Andre, J.1    Siarry, P.2    Dognon, T.3
  • 4
    • 84954943722 scopus 로고
    • Neural network for nonlinear dynamic system modelling and identification
    • Chen S, Billings SA (1992) Neural network for nonlinear dynamic system modelling and identification. Int J Control 56:319-346
    • (1992) Int J Control , vol.56 , pp. 319-346
    • Chen, S.1    Billings, S.A.2
  • 5
    • 0029343956 scopus 로고
    • Fast orthogonal least squares algorithm for efficient subset model selection
    • 7
    • Chen S, Wigger J (1995) Fast orthogonal least squares algorithm for efficient subset model selection. IEEE Trans Signal Process 43(7):1713-1715
    • (1995) IEEE Trans Signal Process , vol.43 , pp. 1713-1715
    • Chen, S.1    Wigger, J.2
  • 6
    • 0024771664 scopus 로고
    • Orthogonal least squares methods and their application to non-linear system identification
    • 5
    • Chen S, Billings SA, Luo W (1989) Orthogonal least squares methods and their application to non-linear system identification. Int J Control 50(5):1873-1896
    • (1989) Int J Control , vol.50 , pp. 1873-1896
    • Chen, S.1    Billings, S.A.2    Luo, W.3
  • 9
    • 0037079015 scopus 로고    scopus 로고
    • Computational approaches to cellular rhythms
    • Goldbeter A (2002) Computational approaches to cellular rhythms. Nature 420:238-245
    • (2002) Nature , vol.420 , pp. 238-245
    • Goldbeter, A.1
  • 11
    • 0029393539 scopus 로고
    • Twenty-one ml estimators for model selection
    • 10
    • Gustafsson F, Hjalmarsson H (1995) Twenty-one ml estimators for model selection. Automatica 31(10):1377-1392
    • (1995) Automatica , vol.31 , pp. 1377-1392
    • Gustafsson, F.1    Hjalmarsson, H.2
  • 12
    • 0025464263 scopus 로고
    • Structure identification of nonlinear dynamic systems-a survey on input/output approaches
    • Haber R, Unbehauen H (1990) Structure identification of nonlinear dynamic systems-a survey on input/output approaches. Automatica 26:651-667
    • (1990) Automatica , vol.26 , pp. 651-667
    • Haber, R.1    Unbehauen, H.2
  • 15
    • 0029790351 scopus 로고    scopus 로고
    • Ultrasensitivity in the mitogen-activated protein kinase cascade
    • Huang CF, Ferrell JE (1996) Ultrasensitivity in the mitogen-activated protein kinase cascade. Proc Natl Acad Sci 93:10,078-10,083
    • (1996) Proc Natl Acad Sci , vol.93 , pp. 10
    • Huang, C.F.1    Ferrell, J.E.2
  • 16
    • 13844256702 scopus 로고    scopus 로고
    • A generalized growing and pruning rbf (ggap-rbf) neural network for function approximation
    • Huang GB, Saratchandran P, Sundararajan N (2005) A generalized growing and pruning rbf (ggap-rbf) neural network for function approximation. IEEE Trans Neural Netw 16:57-67
    • (2005) IEEE Trans Neural Netw , vol.16 , pp. 57-67
    • Huang, G.B.1    Saratchandran, P.2    Sundararajan, N.3
  • 19
    • 0034019315 scopus 로고    scopus 로고
    • Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascades
    • Kholodenko BN (2000) Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascades. Eur J Biochem 267:1583-1588
    • (2000) Eur J Biochem , vol.267 , pp. 1583-1588
    • Kholodenko, B.N.1
  • 20
    • 0036500993 scopus 로고    scopus 로고
    • Systems biology: A brief overview
    • Kitano H (2002) Systems biology: a brief overview. Science 295:1662-1664
    • (2002) Science , vol.295 , pp. 1662-1664
    • Kitano, H.1
  • 21
    • 0023893212 scopus 로고
    • Identifying nonlinear difference equation and functional expansion representations: The fast orthogonal algorithm
    • Korenberg MJ (1988) Identifying nonlinear difference equation and functional expansion representations: the fast orthogonal algorithm. Ann Biomed Eng 16:123-142
    • (1988) Ann Biomed Eng , vol.16 , pp. 123-142
    • Korenberg, M.J.1
  • 23
    • 0034705227 scopus 로고    scopus 로고
    • Scaffold proteins may biphasically affect the levels of mitogen-activated protein kinase signaling and reduce its threshold properties
    • 11
    • Levchenko A, Bruck J, Sternberg PW (2000) Scaffold proteins may biphasically affect the levels of mitogen-activated protein kinase signaling and reduce its threshold properties. Proc Natl Acad Sci 97(11):5818-5823
    • (2000) Proc Natl Acad Sci , vol.97 , pp. 5818-5823
    • Levchenko, A.1    Bruck, J.2    Sternberg, P.W.3
  • 24
    • 2342644856 scopus 로고    scopus 로고
    • Modelling and prediction of nox emission in a coal-fired power generation plant
    • Li K, Thompson S, Peng J (2004) Modelling and prediction of nox emission in a coal-fired power generation plant. Control Eng Pract 12:707-723
    • (2004) Control Eng Pract , vol.12 , pp. 707-723
    • Li, K.1    Thompson, S.2    Peng, J.3
  • 25
    • 26244441991 scopus 로고    scopus 로고
    • A fast nonlinear model identification method
    • 8
    • Li K, Peng J, Irwin GW (2005) A fast nonlinear model identification method. IEEE Trans Automat Control 50(8):1211-1216
    • (2005) IEEE Trans Automat Control , vol.50 , pp. 1211-1216
    • Li, K.1    Peng, J.2    Irwin, G.W.3
  • 26
    • 33646800222 scopus 로고    scopus 로고
    • A two-stage algorithm for identification of nonlinear dynamic systems
    • 7
    • Li K, Peng J, Bai EW (2006) A two-stage algorithm for identification of nonlinear dynamic systems. Automatica 42(7):1189-1197
    • (2006) Automatica , vol.42 , pp. 1189-1197
    • Li, K.1    Peng, J.2    Bai, E.W.3
  • 28
    • 0031224757 scopus 로고    scopus 로고
    • Algorithms for minimal model structure detection in nonlinear dynamic system identification
    • 2
    • Mao KZ, Billings SA (1997) Algorithms for minimal model structure detection in nonlinear dynamic system identification. Int J Control 68(2):311-330
    • (1997) Int J Control , vol.68 , pp. 311-330
    • Mao, K.Z.1    Billings, S.A.2
  • 29
    • 0842288229 scopus 로고    scopus 로고
    • Signaling switches and bistability arising from multisite phosphorylation in protein kinase cascades
    • 3
    • Markevich NI, Hock JB, Kholodenko BN (2007) Signaling switches and bistability arising from multisite phosphorylation in protein kinase cascades. J Cell Biol 164(3):353-359
    • (2007) J Cell Biol , vol.164 , pp. 353-359
    • Markevich, N.I.1    Hock, J.B.2    Kholodenko, B.N.3
  • 31
    • 0030787863 scopus 로고    scopus 로고
    • Modeling the control of dna replication in fission yeast
    • Novak B, Tyson JJ (1997) Modeling the control of dna replication in fission yeast. Proc Natl Acad Sci Cell Biol 94:9147-9152
    • (1997) Proc Natl Acad Sci Cell Biol , vol.94 , pp. 9147-9152
    • Novak, B.1    Tyson, J.J.2
  • 32
    • 22144487744 scopus 로고    scopus 로고
    • Pattern formation in the Brusselator system
    • Peng R, Wang M (2005) Pattern formation in the Brusselator system. J Math Anal Appl 309:151-166
    • (2005) J Math Anal Appl , vol.309 , pp. 151-166
    • Peng, R.1    Wang, M.2
  • 34
    • 37249029174 scopus 로고    scopus 로고
    • A hybrid forward algorithm for RBF neural network construction
    • 6
    • Peng J, Li K, Huang DS (2006) A hybrid forward algorithm for RBF neural network construction. IEEE Trans Neural Netw 17(6):1439-1451
    • (2006) IEEE Trans Neural Netw , vol.17 , pp. 1439-1451
    • Peng, J.1    Li, K.2    Huang, D.S.3
  • 35
    • 17344362384 scopus 로고    scopus 로고
    • Prediction and validation of the distinct dynamics of transient and sustained erk activation
    • 4
    • Sasagawa S, Ozaki Y, Fujita K, Kuroda S (2005) Prediction and validation of the distinct dynamics of transient and sustained erk activation. Nat Cell Biol 7(4):365-373
    • (2005) Nat Cell Biol , vol.7 , pp. 365-373
    • Sasagawa, S.1    Ozaki, Y.2    Fujita, K.3    Kuroda, S.4
  • 37
    • 0029733132 scopus 로고    scopus 로고
    • On the efficiency of the orthogonal least squares training method for radial basis function networks
    • 1
    • Sherstinsky A, Picard RW (1996) On the efficiency of the orthogonal least squares training method for radial basis function networks. IEEE Trans Neural Netw 7(1):195-200
    • (1996) IEEE Trans Neural Netw , vol.7 , pp. 195-200
    • Sherstinsky, A.1    Picard, R.W.2
  • 39
    • 0025826876 scopus 로고
    • Modeling the cell division cycle: Cdc2 and cyclin interactions
    • Tyson JJ (1991) Modeling the cell division cycle: cdc2 and cyclin interactions. Proc Natl Acad Sci Cell Biol 88:7328-7332
    • (1991) Proc Natl Acad Sci Cell Biol , vol.88 , pp. 7328-7332
    • Tyson, J.J.1
  • 42
    • 0032928614 scopus 로고    scopus 로고
    • Mitogen-activated protein kinase: Conservation of a three-kinase module from yeast to human
    • 1
    • Widmann C, Gibson S, Jarpe MB, Johnson GL (1999) Mitogen-activated protein kinase: conservation of a three-kinase module from yeast to human. Physiol Rev 79(1):143-180
    • (1999) Physiol Rev , vol.79 , pp. 143-180
    • Widmann, C.1    Gibson, S.2    Jarpe, M.B.3    Johnson, G.L.4
  • 43
    • 14844317354 scopus 로고    scopus 로고
    • The dynamic systems approach to control and regulation of intracellular networks
    • 8
    • Wolkenhauer O, Ullah M, Wellstead P, Cho KH (2005) The dynamic systems approach to control and regulation of intracellular networks. FEBS Lett 579(8):1846-1853
    • (2005) FEBS Lett , vol.579 , pp. 1846-1853
    • Wolkenhauer, O.1    Ullah, M.2    Wellstead, P.3    Cho, K.H.4
  • 44
    • 0030192825 scopus 로고    scopus 로고
    • Fast orthogonal identification of nonlinear stochastic models and radial basis function neural networks
    • 5
    • Zhu QM, Billings SA (1996) Fast orthogonal identification of nonlinear stochastic models and radial basis function neural networks. Int J Control 64(5):871-886
    • (1996) Int J Control , vol.64 , pp. 871-886
    • Zhu, Q.M.1    Billings, S.A.2
  • 45
    • 27144542973 scopus 로고    scopus 로고
    • Cheating nyquist : nnnonlinear model reconstruction with undersampled frequency response of a forced, damped, nonlinear oscillator
    • 2
    • Zimmerman WB (2006) Cheating nyquist : nonlinear model reconstruction with undersampled frequency response of a forced, damped, nonlinear oscillator. Chem Eng Sci 61(2):621-632
    • (2006) Chem Eng Sci , vol.61 , pp. 621-632
    • Zimmerman, W.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.