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Number of results

Journal

2011 | 9 | 1 | 165-174

Article title

Analysis of the co-evolutions of correlations as a tool for QSAR-modeling of carcinogenicity: an unexpected good prediction based on a model that seems untrustworthy

Content

Title variants

Languages of publication

EN

Abstracts

EN
To validate QSAR models an external test set is increasingly used. However the definition of the compounds for the test set is still debated. We studied, co-evolutions of correlations between optimal descriptors and carcinogenicity (pTD50) for the subtraining, calibration, and test set. Weak correlations for the sub-training set are sometimes accompanied by quite good correlations for the external test set. This can be explained in terms of the probability theory and can help define a suitable test set. The simplified molecular input line entry system (SMILES) was used to represent the molecular structure. Correlation weights for calculating the optimal descriptors are related to fragments of the SMILES. The statistical quality of the model is: n=170, r2=0.6638, q2=0.6554, s=0.828, F=331 (sub-training set); n=170, r2=0.6609, r2pred=0.6520, s=0.825, F=331 (calibration set); and n=61, r2=0.7796, r2pred=0.7658, Rm2=0.7448, s=0.563, F=221 (test set). The calculations were done with CORAL software (http://www.insilico.eu/coral/). [...]

Publisher

Journal

Year

Volume

9

Issue

1

Pages

165-174

Physical description

Dates

published
1 - 2 - 2011
online
16 - 12 - 2010

Contributors

author
  • Institute of Pharmacologic Researches by Mario Negri, 20156, Milan, Italy
  • Institute of Pharmacologic Researches by Mario Negri, 20156, Milan, Italy
author
  • Institute of Pharmacologic Researches by Mario Negri, 20156, Milan, Italy
  • Institute of Pharmacologic Researches by Mario Negri, 20156, Milan, Italy
  • Departmen of Electronics and Information, Polytechnic Institute of Milan, 20133, Milan, Italy

References

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  • [6] E. Benfenati (Ed.), Quantitative Structure-Activity Relationships (QSAR) for Pesticide Regulatory Purposes (Elsevier Science, Amsterdam, 2007)
  • [7] A.A. Toropov, A.P. Toropova, E. Benfenati, A. Manganaro, Mol. Divers. 13, 367 (2009) http://dx.doi.org/10.1007/s11030-009-9113-4[Crossref]
  • [8] A.A. Toropov, A.P. Toropova, E. Benfenati, Int. J. Mol. Sci. 10, 3106 (2009) http://dx.doi.org/10.3390/ijms10073106[Crossref]
  • [9] P.P. Roy, K. Roy, QSAR Comb. Sci. 27, 302 (2008) http://dx.doi.org/10.1002/qsar.200710043[Crossref]

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.-psjd-doi-10_2478_s11532-010-0135-7
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