000			01881nam a2200301 a 4500
001			vtls000057260
003			KUKTEM
005			20251117150320.0
008			111212t2010 flua f 001 0 eng d
020			_a9781420091151
020			_a1420091158
039		9	_a201203011027 _bida _c201202281218 _dasmadi _y201112121651 _zshah
040			_aUMP
090			_aRM301.42 .D68 2010
100	1		_aDoucet, Jean Pierre
245	1	0	_aThree dimensional QSAR : _bapplications in pharmacology and toxicology / _cJean Pierre Doucet, Annick Panaye
260			_aBoca Raton, FL : _bCRC Press , _c2010
300			_axxxiv, 533 pages, [8] pages of plates : _bill. (some color) ; _c24 cm.
490	1		_aQSAR in environmental and health sciences
504			_aIncludes bibliographical references and index
520			_a"Experiencing rapid growth over the last 15 years, quantitative structure-activity relationships (QSAR) continue to evolve quickly with an explosion of new tools and techniques. These techniques now play an increasing role in drug design and chemical risk assessment. New molecular descriptors based on three-dimensional structures incorporate a range of classical approaches, including regression and PLS analysis, as well as new nonlinear approaches, such as neural networks and support vector machines. Three-Dimensional QSAR addresses the scope and limitations of different modeling techniques using case studies from pharmacology, toxicology, and ecotoxicology to demonstrate the utility of each technique"--Provided by publisher
650		0	_aQSAR (Biochemistry)
650		0	_aDrugs _xResearch _xMethodology
650		0	_aToxicology _xResearch _xMethodology
700	1		_aPanaye, Annick
830		0	_aQSAR in environmental and health sciences
999			_aVIRTUA40 _c55872 _d55878
999			_aVTLSSORT0080*0200*0201*0400*0900*1000*2450*2600*3000*4900*5040*5200*6500*6501*6502*7000*8300*9991