Authors:
Poroikov, V
Akimov, D
Shabelnikova, E
Filimonov, D
Citation: V. Poroikov et al., Top 200 medicines: Can new actions be discovered through computer-aided prediction?, SAR QSAR EN, 12(4), 2001, pp. 327-344
Authors:
Veselovsky, AV
Tikhonova, OV
Skvortsov, VS
Medvedev, AE
Ivanov, AS
Citation: Av. Veselovsky et al., An approach for visualization of the active site of enzymes with unknown three-dimensional structures, SAR QSAR EN, 12(4), 2001, pp. 345-358
Citation: Oa. Raevsky, Molecular lipophilicity calculations of chemically heterogeneous chemicalsand drugs on the basis of structural similarity and physicochemical parameters, SAR QSAR EN, 12(4), 2001, pp. 367-381
Authors:
Milchevsky, JV
Ramensky, VE
Esipova, NG
Tumanyan, VG
Zorov, BS
Citation: Jv. Milchevsky et al., Molecular modelling of disease-causing single-nucleotide polymorphisms in collagen, SAR QSAR EN, 12(4), 2001, pp. 383-399
Authors:
Baskin, II
Halberstam, NM
Mukhina, TV
Palyulin, VA
Zefirov, NS
Citation: Ii. Baskin et al., The learned symmetry concept in revealing quantitative structure-activity relationships with artificial neural networks, SAR QSAR EN, 12(4), 2001, pp. 401-416
Citation: N. Zefirov et al., Symposium on Bioinformatics and Computer-Aided Drug Discovery - April 12-13, 2000, Moscow, Russia - Preface, SAR QSAR EN, 12(4), 2001, pp. I-II
Citation: Ak. Singh, QSAR for the organophosphate-induced inhibition and 'aging' of the enzyme neuropathy target esterase(NTE), SAR QSAR EN, 12(3), 2001, pp. 275-295
Citation: E. Estrada et E. Uriarte, Quantitative structure-toxicity relationships using tops-mode. 1. Nitrobenzene toxicity to tetrahymena pyriformis, SAR QSAR EN, 12(3), 2001, pp. 309-324
Citation: Ajm. Carpy et al., An ab initio investigation of 2-amino-2-imidazoline: A key moiety in chemical and biochemical processes, SAR QSAR EN, 11(5-6), 2001, pp. 331-343
Authors:
Macina, OT
Sussman, NB
Claycamp, HG
Grant, SG
Citation: Ot. Macina et al., Physicochemical and graph theoretical descriptors in developmental toxicity SAR: A comparative study, SAR QSAR EN, 11(5-6), 2001, pp. 345-362
Citation: Bd. Gute et al., Molecular similarity based estimation of properties: A comparison of structure spaces and property spaces, SAR QSAR EN, 11(5-6), 2001, pp. 363-382
Authors:
Roszak, S
Koski, WS
Kaufman, JJ
Balasubramanian, K
Citation: S. Roszak et al., Structures and electron attachment properties of halomethanes (CXnYm, X=H,F; Y=Cl, Br, I; n=0,4; m=4-n), SAR QSAR EN, 11(5-6), 2001, pp. 383-396
Citation: J. Devillers, A general QSAR model for predicting the acute toxicity of pesticides to Lepomis macrochirus, SAR QSAR EN, 11(5-6), 2001, pp. 397-417
Authors:
Ivanciuc, O
Ivanciuc, T
Klein, DJ
Seitz, WA
Balaban, AT
Citation: O. Ivanciuc et al., Quantitative structure-retention relationships for gas chromatographic retention indices of alkylbenzenes with molecular graph descriptors, SAR QSAR EN, 11(5-6), 2001, pp. 419-452
Citation: Dp. Spassova et Ak. Singh, QSAR for acetylcholinesterase inhibition and toxicity of two classes of phosphoramidothioates, SAR QSAR EN, 11(5-6), 2001, pp. 453-471
Citation: Jr. Seward et al., Structure-toxicity analyses of Tetrahymena pyriformis exposed to pyridines- An examination into extension of surface-response domains, SAR QSAR EN, 11(5-6), 2001, pp. 489-512
Citation: K. Hasegawa et K. Funatsu, Partial least squares modeling and genetic algorithm optimization in quantitative structure-activity relationships, SAR QSAR EN, 11(3-4), 2000, pp. 189-209
Authors:
Yan, A
Chen, X
Zhang, R
Liu, M
Hu, Z
Fan, BT
Citation: A. Yan et al., Predicting the standard enthalpy (triangle H-f(0)) and entropy (S-0) of alkanes by artificial neural networks, SAR QSAR EN, 11(3-4), 2000, pp. 235-244
Citation: J. Polanski, The non-grid technique for modeling 3D QSAR using self-organizing neural network (SOM) and PLS analysis: Application to steroids and colchicinoids, SAR QSAR EN, 11(3-4), 2000, pp. 245