메뉴 건너뛰기




Volumn 16, Issue 3, 2007, Pages 307-316

Ensemble of hybrid neural network learning approaches for designing pharmaceutical drugs

Author keywords

Drug design; Ensemble learning; Evolutionary neural network; Hybrid learning; Neuro fuzzy

Indexed keywords


EID: 34547493917     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-007-0090-1     Document Type: Article
Times cited : (8)

References (31)
  • 1
    • 0002624789 scopus 로고    scopus 로고
    • Evolutionary and genetic methods in drug design
    • 12
    • Parrill AL (1996) Evolutionary and genetic methods in drug design. Drug Discov Today 1(12):514-521
    • (1996) Drug Discov Today , vol.1 , pp. 514-521
    • Parrill, A.L.1
  • 3
    • 0742306458 scopus 로고    scopus 로고
    • Meta-learning evolutionary artificial neural networks
    • Abraham A (2004) Meta-learning evolutionary artificial neural networks. Neurocomp J 56c:1-38
    • (2004) Neurocomp J , vol.56 , pp. 1-38
    • Abraham, A.1
  • 4
    • 84902156141 scopus 로고    scopus 로고
    • Neuro-fuzzy systems: State-of-the-art modeling techniques, connectionist models of neurons, learning processes, and artificial intelligence
    • Mira J, Prieto A (eds.), Lecture notes in computer science. Springer, Berlin
    • Abraham A (2001) Neuro-fuzzy systems: state-of-the-art modeling techniques, connectionist models of neurons, learning processes, and artificial intelligence. In: Mira J, Prieto A (eds.) Lecture notes in computer science. Springer, Berlin, LNCS 2084, pp 269-276
    • (2001) LNCS , vol.2084 , pp. 269-276
    • Abraham, A.1
  • 5
    • 33749040881 scopus 로고    scopus 로고
    • Probabilistic models for drug dissolution. Part 1 Review of Monte Carlo and stochastic cellular automata approaches
    • 7
    • Barat A, Ruskin HJ, Crane M (2006) Probabilistic models for drug dissolution. Part 1. Review of Monte Carlo and stochastic cellular automata approaches. Simul Model Pract Theory 14(7):843-856
    • (2006) Simul Model Pract Theory , vol.14 , pp. 843-856
    • Barat, A.1    Ruskin, H.J.2    Crane, M.3
  • 6
    • 26244443269 scopus 로고    scopus 로고
    • Artificial intelligence and robotics in high throughput post-genomics
    • 18
    • Laghaee A, Malcolm C, Hallam J, Ghazal P (2005) Artificial intelligence and robotics in high throughput post-genomics. Drug Discov Today 10(18):1253-1259
    • (2005) Drug Discov Today , vol.10 , pp. 1253-1259
    • Laghaee, A.1    Malcolm, C.2    Hallam, J.3    Peter, P.4
  • 8
    • 12444281776 scopus 로고    scopus 로고
    • Bayesian neural nets for modeling in drug discovery
    • 3
    • Winkler DA, Burden FR (2004) Bayesian neural nets for modeling in drug discovery. Drug Discov Today: BIOSILICO 2(3):104-111
    • (2004) Drug Discov Today: BIOSILICO , vol.2 , pp. 104-111
    • Winkler, D.A.1    Burden, F.R.2
  • 9
    • 33646271819 scopus 로고    scopus 로고
    • Computational neuropharmacology: Dynamical approaches in drug discovery
    • 5
    • Aradi I, Erdi P (2006) Computational neuropharmacology: dynamical approaches in drug discovery. Trends Pharmacol Sci 27(5):240-243
    • (2006) Trends Pharmacol Sci , vol.27 , pp. 240-243
    • Aradi, I.1    Erdi, P.2
  • 12
    • 0037374498 scopus 로고    scopus 로고
    • The price of innovation: New estimates of drug development costs
    • DiMasi JA, Hansen RW, Grabowski HG (2003) The price of innovation: new estimates of drug development costs. J Health Econ 22:151-185
    • (2003) J Health Econ , vol.22 , pp. 151-185
    • Dimasi, J.A.1    Hansen, R.W.2    Grabowski, H.G.3
  • 15
    • 33748099709 scopus 로고    scopus 로고
    • Drug Guru: A computer software program for drug design using medicinal chemistry rules
    • 20
    • Stewart KD, Shiroda M, James CA (2006) Drug Guru: a computer software program for drug design using medicinal chemistry rules. Bioorg Med Chem 14(20):7011-7022
    • (2006) Bioorg Med Chem , vol.14 , pp. 7011-7022
    • Stewart, K.D.1    Shiroda, M.2    James, C.A.3
  • 16
    • 28944447255 scopus 로고    scopus 로고
    • A neural networks-based drug discovery approach and its application for designing aldose reductase inhibitors
    • 4
    • Hu L, Chen GH, Chau RMW (2006) A neural networks-based drug discovery approach and its application for designing aldose reductase inhibitors. J Mol Graph Model 24(4):244-253
    • (2006) J Mol Graph Model , vol.24 , pp. 244-253
    • Hu, L.1    Chen, G.H.2    Chau, R.M.W.3
  • 17
    • 0002836406 scopus 로고    scopus 로고
    • Neural networks and genetic algorithms in drug design
    • 2
    • Teroth L, Gasteiger J (2001) Neural networks and genetic algorithms in drug design. Drug Discov Today 6(2):102-108
    • (2001) Drug Discov Today , vol.6 , pp. 102-108
    • Teroth, L.1    Gasteiger, J.2
  • 18
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Moller AF (1993) A scaled conjugate gradient algorithm for fast supervised learning. Neural Netw 6:525-533
    • (1993) Neural Netw , vol.6 , pp. 525-533
    • Moller, A.F.1
  • 20
    • 23344433891 scopus 로고    scopus 로고
    • Chemical profiling and classification of illicit heroin by principal component analysis, calculation of inter sample correlation and artificial neural networks
    • 2
    • Esseiva P, Anglada F, Dujourdy L, Taroni F, Margot P, Pasquier ED, Dawson M, Roux C, Doble P (2005) Chemical profiling and classification of illicit heroin by principal component analysis, calculation of inter sample correlation and artificial neural networks. Talanta 67(2):360-367
    • (2005) Talanta , vol.67 , pp. 360-367
    • Esseiva, P.1    Anglada, F.2    Dujourdy, L.3    Taroni, F.4    Margot, P.5    Pasquier, E.D.6    Dawson, M.7    Roux, C.8    Doble, P.9
  • 21
    • 0034740222 scopus 로고    scopus 로고
    • Drug design by machine learning: Support vector machines for pharmaceutical data analysis
    • 1
    • Burbidge R, Trotter M, Buxton B, Holden S (2001) Drug design by machine learning: support vector machines for pharmaceutical data analysis. Comput Chem 26(1):5-14
    • (2001) Comput Chem , vol.26 , pp. 5-14
    • Burbidge, R.1    Trotter, M.2    Buxton, B.3    Holden, S.4
  • 22
    • 84864174309 scopus 로고    scopus 로고
    • Editura Medicalǎ Universitarǎ "Iuliu Haţieganu", Cluj-Napoca, ISBN: 973-693-016-5
    • Câmpean R, Prodan A (2003) Biomatematicǎ - aplicaţii în Excel, Editura Medicalǎ Universitarǎ "Iuliu Haţieganu", Cluj-Napoca, ISBN: 973-693-016-5
    • (2003) Biomatematicǎ - Aplicaţii în Excel
    • Câmpean, R.P.1
  • 24
    • 0034213103 scopus 로고    scopus 로고
    • Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research
    • 5
    • Agatonovic-Kustrin S, Beresford R (2000) Basic concepts of artificial neural network (ANN) modeling and its application in pharmaceutical research. J Pharm Biomed Anal 22(5):717-727
    • (2000) J Pharm Biomed Anal , vol.22 , pp. 717-727
    • Agatonovic-Kustrin, S.1    Beresford, R.2
  • 26
    • 13344285267 scopus 로고    scopus 로고
    • Optimization algorithms and natural computing in drug discovery
    • 3
    • Solmajer T, Zupan J (2004) Optimization algorithms and natural computing in drug discovery. Drug Discov Today: Technol 1(3):247-252
    • (2004) Drug Discov Today: Technol , vol.1 , pp. 247-252
    • Solmajer, T.1    Zupan, J.2
  • 27
    • 33749186956 scopus 로고    scopus 로고
    • From electric patterns to drugs: Perspectives of computational neuroscience in drug design
    • 1-3
    • Kiss T, Érdi P (2006) From electric patterns to drugs: perspectives of computational neuroscience in drug design. Biosystems 86(1-3):46-52
    • (2006) Biosystems , vol.86 , pp. 46-52
    • Kiss, T.1    Érdi, P.2
  • 28
    • 0042884376 scopus 로고    scopus 로고
    • Application of artificial neural networks in the design of controlled release drug delivery systems
    • 9
    • Sun Y, Peng Y, Chen Y, Shukla AJ (2003) Application of artificial neural networks in the design of controlled release drug delivery systems. Adv Drug Deliv Rev 55(9):1201-1215
    • (2003) Adv Drug Deliv Rev , vol.55 , pp. 1201-1215
    • Sun, Y.1    Peng, Y.2    Chen, Y.3    Shukla, A.J.4
  • 29
    • 33750938642 scopus 로고    scopus 로고
    • New technologies in computer-aided drug design: Toward target identification and new chemical entity discovery
    • Tang Y, Zhu W, Chen K, Jiang H (2006) New technologies in computer-aided drug design: toward target identification and new chemical entity discovery. Drug Discov Today: Technol 3(3):307-313
    • (2006) Drug Discov Today: Technol , vol.3 , Issue.3 , pp. 307-313
    • Tang, Y.1    Zhu, W.2    Chen, K.3    Jiang, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.