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Page 1
Structure-based classification of antibacterial activity.
Cronin MT, Aptula AO, Dearden JC, Duffy JC, Netzeva TI, Patel H, Rowe PH, Schultz TW, Worth AP, Voutzoulidis K, Schüürmann G. Cronin MT, et al. Among authors: worth ap. J Chem Inf Comput Sci. 2002 Jul-Aug;42(4):869-78. doi: 10.1021/ci025501d. J Chem Inf Comput Sci. 2002. PMID: 12132888
QSARS for toxicity to the bacterium Sinorhizobium meliloti.
Lessigiarska I, Cronin MT, Worth AP, Dearden JC, Netzeva TI. Lessigiarska I, et al. Among authors: worth ap. SAR QSAR Environ Res. 2004 Jun;15(3):169-90. doi: 10.1080/10629360410001697771. SAR QSAR Environ Res. 2004. PMID: 15293545
Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52.
Netzeva TI, Worth A, Aldenberg T, Benigni R, Cronin MT, Gramatica P, Jaworska JS, Kahn S, Klopman G, Marchant CA, Myatt G, Nikolova-Jeliazkova N, Patlewicz GY, Perkins R, Roberts D, Schultz T, Stanton DW, van de Sandt JJ, Tong W, Veith G, Yang C. Netzeva TI, et al. Altern Lab Anim. 2005 Apr;33(2):155-73. doi: 10.1177/026119290503300209. Altern Lab Anim. 2005. PMID: 16180989 No abstract available.
Validation of a QSAR model for acute toxicity.
Pavan M, Netzeva TI, Worth AP. Pavan M, et al. Among authors: worth ap. SAR QSAR Environ Res. 2006 Apr;17(2):147-71. doi: 10.1080/10659360600636253. SAR QSAR Environ Res. 2006. PMID: 16644555
Validation of counter propagation neural network models for predictive toxicology according to the OECD principles: a case study.
Vracko M, Bandelj V, Barbieri P, Benfenati E, Chaudhry Q, Cronin M, Devillers J, Gallegos A, Gini G, Gramatica P, Helma C, Mazzatorta P, Neagu D, Netzeva T, Pavan M, Patlewicz G, Randić M, Tsakovska I, Worth A. Vracko M, et al. SAR QSAR Environ Res. 2006 Jun;17(3):265-84. doi: 10.1080/10659360600787650. SAR QSAR Environ Res. 2006. PMID: 16815767
165 results