000			01554cam a22002174a 4500
999			_c19501 _d19501
001			13928009
005			20200601124247.0
008			050413s2005 flua b 001 0 eng
020			_a082472397X (alk. paper)
020			_a9780824723972 (hbk)
040			_cDLC
082	0	0	_a615.9 _222 _bC4661
245	0	0	_aPredictive toxicology / _cedited by Christoph Helma.
260			_aBoca Raton : _bTaylor & Francis, _c2005
300			_ax, 508 p. : _bill. ; _c24 cm.
650		0	_aToxicology _xMathematical models.
650		0	_aToxicology _xComputer simulation.
700	1		_aHelma, Christoph.
942			_cBK
505	0		_aa brief introduction to predictive; description and representation of chemicals; computational biology; toxicological information for use in predictive modeling : quality, sources, and data bases; the use of expert systems for toxicology risk prediction; regression -and projection- based approaches in predictive toxicology; machine learning and data mining; neural networks and kernel machines for vector and structured data; applications of substructure based SAR in toxicology; oncologic : a mechanism-based expert system for predicting the carcinogenic potential of chemicals; meta : an expert system for the prediction of metabolic transformations; MC4PC an artificial intelligence approach to the discovery of quantitative structure toxic activity relationships; pass : prediction of biological activity spectra for substances; lazar : lazy structure activity relationships for toxicity predictions