118 related articles for article (PubMed ID: 9435905)
1. Three-dimensional quantitative structure-activity relationships from molecular similarity matrices and genetic neural networks. 2. Applications.
So SS; Karplus M
J Med Chem; 1997 Dec; 40(26):4360-71. PubMed ID: 9435905
[TBL] [Abstract][Full Text] [Related]
2. Three-dimensional quantitative structure-activity relationships from molecular similarity matrices and genetic neural networks. 1. Method and validations.
So SS; Karplus M
J Med Chem; 1997 Dec; 40(26):4347-59. PubMed ID: 9435904
[TBL] [Abstract][Full Text] [Related]
3. Evolutionary optimization in quantitative structure-activity relationship: an application of genetic neural networks.
So SS; Karplus M
J Med Chem; 1996 Mar; 39(7):1521-30. PubMed ID: 8691483
[TBL] [Abstract][Full Text] [Related]
4. Genetic neural networks for quantitative structure-activity relationships: improvements and application of benzodiazepine affinity for benzodiazepine/GABAA receptors.
So SS; Karplus M
J Med Chem; 1996 Dec; 39(26):5246-56. PubMed ID: 8978853
[TBL] [Abstract][Full Text] [Related]
5. Application of the novel molecular alignment method using the Hopfield Neural Network to 3D-QSAR.
Arakawa M; Hasegawa K; Funatsu K
J Chem Inf Comput Sci; 2003; 43(5):1396-402. PubMed ID: 14502472
[TBL] [Abstract][Full Text] [Related]
6. Binding interaction analysis of the active site and its inhibitors for neuraminidase (N1 subtype) of human influenza virus by the integration of molecular docking, FMO calculation and 3D-QSAR CoMFA modeling.
Zhang Q; Yang J; Liang K; Feng L; Li S; Wan J; Xu X; Yang G; Liu D; Yang S
J Chem Inf Model; 2008 Sep; 48(9):1802-12. PubMed ID: 18707092
[TBL] [Abstract][Full Text] [Related]
7. Novel alignment method of small molecules using the Hopfield Neural Network.
Arakawa M; Hasegawa K; Funatsu K
J Chem Inf Comput Sci; 2003; 43(5):1390-5. PubMed ID: 14502471
[TBL] [Abstract][Full Text] [Related]
8. Ensembles of Bayesian-regularized genetic neural networks for modeling of acetylcholinesterase inhibition by huprines.
Fernández M; Caballero J
Chem Biol Drug Des; 2006 Oct; 68(4):201-12. PubMed ID: 17105484
[TBL] [Abstract][Full Text] [Related]
9. Consensus superiority of the pharmacophore-based alignment, over maximum common substructure (MCS): 3D-QSAR studies on carbamates as acetylcholinesterase inhibitors.
Chaudhaery SS; Roy KK; Saxena AK
J Chem Inf Model; 2009 Jun; 49(6):1590-601. PubMed ID: 19441865
[TBL] [Abstract][Full Text] [Related]
10. Structural bioinformatics and QSAR analysis applied to the acetylcholinesterase and bispyridinium aldoximes.
Mager PP; Weber A
Drug Des Discov; 2003; 18(4):127-50. PubMed ID: 15553925
[TBL] [Abstract][Full Text] [Related]
11. Three-dimensional quantitative similarity-activity relationships (3D QSiAR) from SEAL similarity matrices.
Kubinyi H; Hamprecht FA; Mietzner T
J Med Chem; 1998 Jul; 41(14):2553-64. PubMed ID: 9651159
[TBL] [Abstract][Full Text] [Related]
12. 3D QSAR studies of AChE inhibitors based on molecular docking scores and CoMFA.
Akula N; Lecanu L; Greeson J; Papadopoulos V
Bioorg Med Chem Lett; 2006 Dec; 16(24):6277-80. PubMed ID: 17049234
[TBL] [Abstract][Full Text] [Related]
13. A neural networks-based drug discovery approach and its application for designing aldose reductase inhibitors.
Hu L; Chen G; Chau RM
J Mol Graph Model; 2006 Jan; 24(4):244-53. PubMed ID: 16226911
[TBL] [Abstract][Full Text] [Related]
14. Anticancer activity of selected phenolic compounds: QSAR studies using ridge regression and neural networks.
Nandi S; Vracko M; Bagchi MC
Chem Biol Drug Des; 2007 Nov; 70(5):424-36. PubMed ID: 17949360
[TBL] [Abstract][Full Text] [Related]
15. QSARs and activity predicting models for competitive inhibitors of adenosine deaminase.
Sadat Hayatshahi SH; Abdolmaleki P; Ghiasi M; Safarian S
FEBS Lett; 2007 Feb; 581(3):506-14. PubMed ID: 17250831
[TBL] [Abstract][Full Text] [Related]
16. A comparison of methods for modeling quantitative structure-activity relationships.
Sutherland JJ; O'Brien LA; Weaver DF
J Med Chem; 2004 Oct; 47(22):5541-54. PubMed ID: 15481990
[TBL] [Abstract][Full Text] [Related]
17. QSAR analysis of acetylcholinesterase inhibitors by use of structure similarity methods.
Jerman-Blazic B; Fabic-Petrac I; Pecar S; Stalc A
Prog Clin Biol Res; 1989; 291():213-6. PubMed ID: 2726849
[TBL] [Abstract][Full Text] [Related]
18. Three-dimensional quantitative structure: activity relationship studies on diverse structural classes of HIV-1 integrase inhibitors using CoMFA and CoMSIA.
Nunthaboot N; Tonmunphean S; Parasuk V; Wolschann P; Kokpol S
Eur J Med Chem; 2006 Dec; 41(12):1359-72. PubMed ID: 17002889
[TBL] [Abstract][Full Text] [Related]
19. Broad-based quantitative structure-activity relationship modeling of potency and selectivity of farnesyltransferase inhibitors using a Bayesian regularized neural network.
Polley MJ; Winkler DA; Burden FR
J Med Chem; 2004 Dec; 47(25):6230-8. PubMed ID: 15566293
[TBL] [Abstract][Full Text] [Related]
20. Application of 3D-QSAR in the rational design of receptor ligands and enzyme inhibitors.
Mor M; Rivara S; Lodola A; Lorenzi S; Bordi F; Plazzi PV; Spadoni G; Bedini A; Duranti A; Tontini A; Tarzia G
Chem Biodivers; 2005 Nov; 2(11):1438-51. PubMed ID: 17191945
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
