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Corwin Hansch

Publications and source records attributed to Corwin Hansch.

35 records · Page 2Linked to original sources

Allosteric interactions and QSAR: on the role of ligand hydrophobicity.

A study of a very large database of QSAR (9100) has uncovered a few unusual examples where as one increases the hydrophobicity of the members of a set of congeners, activity decreases until at a certain point, activity begins to increase. Obviously a change in mechanism is involved. The only way we have found to rationalize this unusual event is by a change in the structure of the receptor. We have found this to occur with hemoglobin, a substance first used to define allosteric reactions.

Animals↗

Quantitative structure-activity relationships of phenolic compounds causing apoptosis.

A study of a variety of phenolic compounds (simple phenols, estradiol, bisphenol A, diethylstilbesterol) on their action on L1210 leukemia cells led to the formulation of the following QSAR for apoptosis:log 1/C=-3.16 Clog P+2.77 CMR-3.76n=11, r(2)=0.939, s=0.630, q(2)=0.892C is the molar concentration causing 25% apoptosis, Clog P is the calculated octanol/water partition coefficient and CMR is the calculated molecular refractivity. Our results imply the significance of characterization of the phenolic compounds with apoptotic activity and the development of new agents for cancer therapy.

Algorithms↗

Searching for allosteric effects via QSAR. Part II.

Allosteric interactions have in the past been established by means of X-ray crystallography or careful study of a single molecule at a variety of concentrations. Here we report a method for using QSAR to establish a change in reaction mechanism by establishing an inversion point. That is, as polarizability of a member of a congeneric set of compounds is increased (as measured by CMR), activity at first decreases until, at the inversion, activity turns around and increases. Out of 23 examples, 14 have inversion points of 10+/-1. This includes a wide variety of receptors such as thrombin, 5-HT, dopamine, and tyrosine kinase acting with a variety of ligands.

Algorithms↗

Comparative QSAR of the sulfonamide function.

The aromatic SO(2)NH(2) function has been characterized in biological reactions and in physical organic chemical reactions using the Hammett constant sigma, the Swain-Lupton parameter F and steric constants. The results allow comparable support for the biological processes from the much better understood mechanistic organic reactions. The approach is applied to the enzyme carbonic anhydrase and the rate of excretion of Na(+) by rats. From the study of QSAR on the ionization of the amide function, it is clearly apparent that it is the ionized form of SO(2)NH(2) that promotes the biological processes. It is clear from Fujita-Nishioka proposal that, in dealing with ortho substituents, one should routinely test sigma, F and a steric parameter to account for substituent effects.

Carbonic Anhydrases↗

HIV-1 protease inhibitors: a comparative QSAR analysis.

An excellent example in the field of rational drug design is the discovery and development of more than a dozen drugs for the treatment of AIDS. The major targets for the development of new chemotherapeutic agents are Reverse Transcriptase and Protease, the enzymes encoded by HIV-1. The introduction of HIV-1 protease (HIV-1 PR) inhibitors, in particular, has drastically decreased the mortality and morbidity associated with AIDS. The inhibition of this enzyme results in production of immature and noninfectious virions. In the present review, a comparative quantitative structure activity relationship (QSAR) study of various peptidomimetic and non-peptidomimetic molecules investigated for their inhibitory activity has been reported. Among the various physicochemical properties studied, hydrophobicity, steric and electronic interactions are found to play important role in binding to the receptor.

Anti-HIV Agents↗

The relative toxicity of substituted phenols reported in cigarette mainstream smoke.

Cigarette mainstream smoke (MS) contains a number of structurally diverse substituted phenols. Recent quantitative structure activity relationship (QSAR) studies on phenols show that substituted phenols with electron-releasing groups can form potentially toxic phenoxyl-free radicals. In contrast, substituted phenols with electron-withdrawing groups do not form phenoxyl-free radicals but exert their toxicity primarily through lipophilicity. The chemical structures of 253 different substituted phenols reported in MS have been described in sufficient detail to allow identification of the individual compounds. From a laterally validated equation based on published data on the toxic effects of phenols on cultured cells, the relative toxicity, on a molar basis, of the 253 MS phenols has been determined. Based on this scheme, the most toxic phenols in MS include, in descending order of toxicity, 2-(dimethylamino)-phenol, 2-ethyl-6-methyl-1,4-benzenediol, 2-methoxy-1,4-benzenediol, and 4-ethyl-2-methoxy-6-methylphenol. The least toxic phenols include, in ascending order of toxicity, 4-hydroxybenzoic acid and 3-hydroxybenzenepropanoic acid. In the human exposure situation, the toxicity of MS phenols is a complex interaction, with contributions made by the following factors: toxicity per mole; MS concentration; synergistic, additive or antagonistic interactions with other MS components; host susceptibility; metabolism; and individual smoking behavior and inhalation patterns. In the absence of data to the contrary, reduction in the number and concentration of toxic MS smoke components may be considered to be advantageous. Studies of this type can play an important role in identifying MS components for reduction or removal.

Animals↗

On the parametrization of the toxicity of organic chemicals to Tetrahymena pyriformis. The problem of establishing a uniform activity.

In this report we illustrate the importance of making an effort to ensure that all of the dependent variables in a QSAR are associated with one mechanism of action. If this cannot be established, it will not be possible to compare the QSAR with others acting on different biological systems. That is, such information cannot be used to develop a science of chemical-biological interactions. A study of the action of a large set of phenols acting on Tetrahymena pyriformis made by Cronin and Schultz is analyzed to illustrate the problem.

Animals↗

On the role of polarizability in chemical-biological interactions.

This report considers the importance of electronic effects in their role in the QSAR of chemical-biological interactions. The problem of accounting for polarizability effects in ligand-substrate interactions is discussed in terms of molecular polarizability (MR) and NVE (number of valence electrons) using additive values for valence electrons. The two approaches give essentially the same result in examples of frog nerve toxicity and examples of nerve toxicity with rabbits and cockroaches. The point is made that no matter how one approaches QSAR, electronic interactions must be considered if we are to begin to develop a science of chemical-biological interactions.

Animals↗

QSAR of chemical polarizability and nerve toxicity. 2.

Polarizability is a property of molecules that has long been of interest to scientists from a variety of viewpoints. However, in the area of the QSAR of chemical-biological interactions, it has received little attention. Recently we have shown that one can use the simple summation of the valence electrons (H = 1, C = 4, O = 6, etc.) in a molecule as a measure of its polarizability. We have found this parameter to correlate nerve toxicity of a wide variety of chemicals acting on nerves of frogs, rabbits, cockroaches, and humans.

Animals↗

Cytotoxicity of organic compounds against ovarian cancer cells: a quantitative structure-activity relationship study.

The interest in the application of structure-activity relationships has steadily increased in recent decades. In the present paper, we have discussed the cytotoxicity of various sets of organic compounds against ovarian cancer cells by the formulation of a total number of 11 QSARs. Hydrophobicity is found to be one of the most important determinants of activity followed by steric parameters. Parabolic correlation with hydrophobicity is an encouraging example, where the optimal hydrophobicity is well-defined. We believe that this may be the predictive model to narrow the synthetic challenges in order to yield very specific OVCAR-3 inhibitors. On the basis of this model, we can predict three compounds that may be the next synthetic target. Cross-validation and Y-randomization tests were used to validate all the QSAR models.

Acridines↗