Quantitative structure-activity relationship techniques

Classical Quantitative Structure-Activity Relationship Techniques The early QSAR models for calcium channel ligands were based on classical Hansch analysis and elucidated the structural requirements for the binding of molecules to their receptors [111-115], It was found that various steric (Bl, L), electronic (a), and hydrophobic (n) parameters or their combination correlated well with the potency of various DHPs [111]. QSAR analysis of another set of DHPs revealed good correlations between electronic properties (F-constants) of the phenyl ring substituents and binding affinities or functional potency [112] lipophilicity as well as ortho- and meta-substituents inductivity... 

Stiefl, N. and Baumann, K. (2003) Mapping property distributions of molecular surfaces algorithm and evaluation of a novel 3D quantitative structure-activity relationship technique. J. Med. Chem.,... 

With large databases of properties, it is possible to apply QSAR (quantitative structure-activity relationship) techniques to derive good fits between molecular properties (lists exist of 1000+ properties available from ab initio calculations that can then be tested for fitabUity [2]) and the desired macroproperty. SPARC (SPARC Performs Automated Reasoning in Chemistry) is an excellent example of this approach... 

PW91 (Perdew, Wang 1991) a gradient corrected DFT method QCI (quadratic conhguration interaction) a correlated ah initio method QMC (quantum Monte Carlo) an explicitly correlated ah initio method QM/MM a technique in which orbital-based calculations and molecular mechanics calculations are combined into one calculation QSAR (quantitative structure-activity relationship) a technique for computing chemical properties, particularly as applied to biological activity QSPR (quantitative structure-property relationship) a technique for computing chemical properties... 

Lipophilicity appears in several Quantitative Structure-Activity Relationships (QSAR) studies [16], emphasizing its importance. Different in vitro assays have been reported to measure lipophilicity from the classical shake-flask technique that still remains the reference for lipophilicity measurements to more actual methodologies. The first procedure is time-consuming, sensitive to impurities and the measurable log Poct range restricted to -3 to 3 [17]. 

KARMA is an interactive computer assisted drug design tool that incorporates quantitative structure-activity relationships (QSAR), conformational analysis, and three-dimensional graphics. It represents a novel approach to receptor mapping analysis when the x-ray structure of the receptor site is not known, karma utilizes real time interactive three-dimensional color computer graphics combined with numerical computations and symbolic manipulation techniques from the field of artificial intelligence. 

Braumann, T. Determination of hydrophobic parameters by reversed-phase liquid chromatography theory, experimental techniques, and application in studies on quantitative structure-activity relationships, J. Chromatogr., 373 191-225, 1986. 

For quantitative structure-activity relationship (QSAR) studies a three-dimensional model of a DNA-quinoIone complex was built using molecular modeling techniques. It was based on the intercalation of quinolone into the double helix of DNA. It was concluded that the intercalation model is consistent with most available data on the structure of the quinolone complex. This predicted... 

Several research techniques are commonly used in the field of QSAR (quantitative structure-activity relationship). Nevertheless, this research area is constantly on the search to develop better, faster, or different methods. In this section, we intend to point out some ongoing research efforts that are exploring unique pathways with the same goal of better understanding the metabolism process of CYPs. 

Partial least squares regression analysis (PLS) has been used to predict intensity of sweet odour in volatile phenols. This is a relatively new multivariate technique, which has been of particular use in the study of quantitative structure-activity relationships. In recent pharmacological and toxicological studies, PLS has been used to predict activity of molecular structures from a set of physico-chemical molecular descriptors. These techniques will aid understanding of natural flavours and the development of synthetic ones. 

Statistical and computational methods have been used to quantify structure-activi relationships leading to quantitative structure-activity relationships (QSAR). The concqpt of QSAR can be dated back to the work of Crum, Brown and Fraser from 1868 to 1869, and Richardson, also in 1869. Many notable papers were published in the period leading up to the twentieth century by men such as Berthelot and Jungfleisch in 1872, Nemst in 1891, Ov ton in 1897 and Meyer in 1899 (7). Professor Corwin Hansch is now regarded by many as the father of QSAR, because of his work in the development of new and innovative techniques for QSAR. He and his co-woikers produced a paper that was to be known as the birtii of QSAR, and was oititled "Correlation of biological activity of phenoxyacetic acids with Hammett substituent constants and partition coefficients" (2). 

A relatively recent development in QSAR research is molecular reference (MOLREF). This molecular modelling technique is a method that compares the structures of any number of test molecules with a reference molecule, in a quantitative structure-activity relationship study (27). Partial least squares regression analysis was used in molecular reference to analyse the relation between X- and Y-matrices. In this paper, forty-two disubstituted benzene compounds were tested for toxicity to Daphnia... 

Computational chemistry methodology is finding increasing application to the design of new flavoring agents. This chapter surveys several useful techniques linear free energy relationships, quantitative structure-activity relationships, conformational analysis, electronic structure calculations, and statistical methods. Applications to the study of artificial sweeteners are described. 

Odor and taste quality can be mapped by multidimensional scaling (MDS) techniques. Physicochemical parameters can be related to these maps by a variety of mathematical methods including multiple regression, canonical correlation, and partial least squares. These approaches to studying QSAR (quantitative structure-activity relationships) in the chemical senses, along with procedures developed by the pharmaceutical industry, may ultimately be useful in designing flavor compounds by computer. 

Attempts to quantitatively relate chemical structure to biological action were first initiated in the 19th century, but it was not until the 1960s that Hansch and Fujita devised a method that successfully incorporated quantitative measurements into SAR determinations (see section 4.4). The technique is referred to as QSAR (quantitative structure-activity relationships). One of its most successful uses has been in the development in the 1970s of the antiulcer agents cimetidine and ranitidine. Both SARs and QSARs are important parts of the foundations of medicinal chemistry. 

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