QSARs (quantitative structure-activity relationships) Relationships between structural parameters of chemicals and their toxicity. [Pg.334]

QCISD(T) 207, 208 QCPE (Quantum Chemistry Program Exchange) 173 QM/MM model 262 QSAR (Quantitative Structure and Activity Relations) 56 QST (Quadratic Synchronous Transit) [Pg.334]

ADMET absorption, distribution, metabolism, excretion and toxicity BLW-ED block-localized wave function energy decomposition hERG human ether-a-go-go-related gene QSAR quantitative structure-activity relationship [Pg.315]

All the techniques described above can be used to calculate molecular structures and energies. Which other properties are important for chemoinformatics Most applications have used semi-empirical theory to calculate properties or descriptors, but ab-initio and DFT are equally applicable. In the following, we describe some typical properties and descriptors that have been used in quantitative structure-activity (QSAR) and structure-property (QSPR) relationships. [Pg.390]

The fundamental assumption of SAR and QSAR (Structure-Activity Relationships and Quantitative Structure-Activity Relationships) is that the activity of a compound is related to its structural and/or physicochemical properties. In a classic article Corwin Hansch formulated Eq. (15) as a linear frcc-cncrgy related model for the biological activity (e.g.. toxicity) of a group of congeneric chemicals [37, in which the inverse of C, the concentration effect of the toxicant, is related to a hy-drophobidty term, FI, an electronic term, a (the Hammett substituent constant). Stcric terms can be added to this equation (typically Taft s steric parameter, E,). [Pg.505]

Practical Applications of Quantitative Structure-Activity Relationships (QSAR) in Environmental Chemistry and Toxicology W. Karcher, J. Devillers, Eds., Kluwer, Dordrecht (1990). [Pg.251]

Quantitative Structure—Activity Relationships (QSAR). Quantitative Stmcture—Activity Relationships (QSAR) is the name given to a broad spectmm of modeling methods which attempt to relate the biological activities of molecules to specific stmctural features, and do so in a quantitative manner (see Enzyme INHIBITORS). The method has been extensively appHed. The concepts involved in QSAR studies and a brief overview of the methodology and appHcations are given here. [Pg.168]

Quantitative Structure—Activity Relationships. Many quantitative stmcture—activity relationship (QSAR) studies of progestins have appeared in the Hterature and an extensive review of this work is available (174). QSAR studies attempt to correlate electronic, steric, and/or hydrophobic properties to progestational activity or receptor binding affinity. A review focusing on the problems associated with QSAR of steroids has been pubUshed (175). [Pg.220]

Many different approaches to QSAR have been developed since Hansch s seminal work. These include both 2D and 3D QSAR methods. The differences among these methods can be reviewed in terms of the two fundamental components of the QSAR approach (1) the structural parameters that are used to characterize molecular structures and (2) the mathematical procedure that is employed to obtain the quantitative relationship between the biological activity and the structural parameters. [Pg.312]

Ekins S, Bravi G, Binkley S, Gillespie JS, Ring BJ, Wikel JH, et al. Three and four dimensional-quantitative structure activity relationship (3D/4D-QSAR) analyses of CYP2D6 inhibitors. Pharmacogenetics 1999 9 477-89. [Pg.460]

Benigni R, Giuliani A. Quantitative structure-activity relationship (QSAR) studies of mutagens and carcinogens. Med Res Rev 1996 16 267-84. [Pg.490]

A httle number of works performing Bfx and Fx quantitative structure-activity relationship (QSAR) studies have been described. On the other hand, to gain insight into the biological behavior of Bfxs and Fxs some studies [Pg.296]

Hansch and Verma contribute to the quantitative structure-activity relationship (QSAR) analysis of heterocyclic topoisomerase I and II inhibitors. These inhibitors, known to inhibit either enzyme, act as antitumor agents and are currently used in chemotherapy and in clinical trials. [Pg.325]

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