| Record ID | marc_columbia/Columbia-extract-20221130-009.mrc:59995469:3052 |
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LEADER: 03052mam a2200361 a 4500
001 4052611
005 20221027024904.0
008 961018t19961996enkaf b 001 0 eng d
020 $a0122138155
035 $a(OCoLC)ocm35759413
035 $9ALU4957HS
035 $a(NNC)4052611
035 $a4052611
040 $aIXA$cIXA$dNNC-M$dOrLoB-B
050 4 $aRM301.42$b.N487 1996
245 00 $aNeural networks in QSAR and drug design /$cedited by James Devillers.
260 $aLondon ;$aSan Diego :$bHarcourt Brace,$c[1996], ©1996.
300 $ax, 284 pages, 11 pages of plates :$billustrations (some color) ;$c24 cm.
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
490 1 $aPrinciples of QSAR and drug design
504 $aIncludes bibliographical references and index.
505 00 $g1.$tStrengths and Weaknesses of the Backpropagation Neural Network in QSAR and QSPR Studies /$rJ. Devillers --$g2.$tAUTOLOGP Versus Neural Network Estimation of n-Octanol/Water Partition Coefficients /$rD. Domine, J. Devillers and W. Karcher --$g3.$tUse of a Backpropagation Neural Network and Autocorrelation Descriptors for Predicting the Biodegradation of Organic Chemicals /$rJ. Devillers, D. Domine and R. S. Boethling --$g4.$tStructure-Bell-Pepper Odor Relationships for Pyrazines and Pyridines Using Neural Networks /$rM. Chastrette and C. El Aidi --$g5.$tA Neural Structure-Odor Threshold Model for Chemicals of Environmental and Industrial Concern /$rJ. Devillers, C. Guillon and D. Domine --$g6.$tAdaptive Resonance Theory Based Neural Networks Explored for Pattern Recognition Analysis of QSAR Data /$rD. Wienke, D. Domine, L. Buydens and J. Devillers --$g7.$tMultivariate Data Display Using Neural Networks /$rD. J. Livingstone --
505 80 $g8.$tQuantitative Structure-Activity Relationships of Nicotinic Agonists /$rD. T. Manallack, T. Gallagher and D. J. Livingstone --$g9.$tEvaluation of Molecular Surface Properties Using a Kohonen Neural Network /$rS. Anzali, G. Barnickel, M. Krug, J. Sadowski, M. Wagener and J. Gasteiger --$g10.$tA New Nonlinear Neural Mapping Technique for Visual Exploration of QSAR Data /$rD. Domine, D. Wienke, J. Devillers and L. Buydens --$g11.$tCombining Fuzzy Clustering and Neural Networks to Predict Protein Structural Classes /$rG. M. Maggiora, C. T. Zhang, K. C. Chou and D. W. Elrod.
650 0 $aNeural networks (Computer science)$0http://id.loc.gov/authorities/subjects/sh90001937
650 0 $aQSAR (Biochemistry)$0http://id.loc.gov/authorities/subjects/sh91000992
650 0 $aDrugs$xDesign.$0http://id.loc.gov/authorities/subjects/sh88001157
650 0 $aDrugs$xStructure-activity relationships.$0http://id.loc.gov/authorities/subjects/sh85039752
650 2 $aNeural Networks, Computer.$0https://id.nlm.nih.gov/mesh/D016571
650 2 $aDrug Design.$0https://id.nlm.nih.gov/mesh/D015195
700 1 $aDevillers, James,$d1956-$0http://id.loc.gov/authorities/names/n90673066
830 0 $aPrinciples of QSAR and drug design.
852 00 $boff,hsl$hRM301.42$i.N487 1996