Detection of curare in the Jascalevich murder trial.
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Biomedical subjects
Publications and source records attributed to L H Hall.
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The structure--activity relationship of a series of nitrosamines was evaluated for mutagenic potency as measured in the Ames test. The structural description was made using molecular connectivity. A good correlation was found.
A correlation between three molecular connectivity indexes and the muscarinic receptor affinity of 104 acetylcholine antagonists was found. Analysis of structure from these indexes reveals not only the importance of the onium and the bulky portions of the molecule but also their virtual independence of each other on the affinity. Analysis of the onium group portion of the molecules indicates that its contribution to the experimental affinity is virtually constant through a variety of structural variations. The influence of the bulky side chains, in contrast, is quite structure dependent. The equation relating connectivity indexes to muscarinic affinity of antagonists is capable of predicting the affinity of other antagonists as well as a number of agonist molecules.
Antimicrobial and antiviral data sets were analyzed by molecular connectivity. Standard structure--activity relationship equations of high quality were produced in both cases. For phenyl propyl ether activity against Staphylococcus aureus, the three variables 1chi, 3chiP, and 4chiUPC yielded an r of 0.957, significantly better than a pi,sigma analysis. Analysis of benzimidazole antiviral data (Lee strain, B flu virus) revealed that the one variable, 6chiP, yielded an r of 0.950, also better than a reported Hansch analysis. Both data sets were further analyzed by partitioning the important regression variables into terms representing various structural features of the molecules. For the phenyl propyl ethers, the para-region of the phenyl ring is important for improved activity and the negative coefficient on 3chiP corresponds to decreased activity for vic-dihydroxy compounds. For the alkylbenzimidazoles, substitution on the five-membered ring is highly important. No discrimination of six-membered ring positions was revealed. These structure--activity relationship observations can form the basis for synthetic decisions to improve activity.
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The extension of the molecular connectivity concept to the treatment of heteroatom molecules affords an opportunity to examine structure-activity relationships in a wide variety of molecule series that possess biological activity. Four series are described in this report. The correlations found indicate that molecular connectivity is an extremely useful descriptor of structure in studying drug molecule structure-activity relationships.
A series of ring-substituted hallucinogenic amphetamines has been analyzed using molecular connectivity. A correlating equation has been found between potency and connectivity terms. The equation permits an interpretation of SAR. The equation is capable of predicting potency for amphetamines not in the list and mescalines and tryptamines.
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The concept of the expanded series of the connectivity index, chi, is introduced and applied to a consideration of the density of three classes of molecules. Correlations are found using two terms in the expanded series. A preliminary reflection on the extended series terms is made. It is noted that the regression equation constant in the three studies is close to the phase volume, 0.7402, and the possible significance of this fact is discussed.
The molecular connective index, chi, initially designed for hydrocarbons, has been formally extended to molecules containing heteroatoms. The sigma value of the heteroatom is modified to take account of its number of attached hydrogen atoma, sigmaiv = Zv - hi. These values were successfully tested on boiling points and molar refractions. A table of sigmav values is presented for nitrogen, oxygen, fluorine, chlorine, bromine, and iodine in various bonding situations.
The topologically derived, nonempirical molecular connectivity index, chi, for several classes of compounds is shown to be parabolically related to the biological activities of these compounds. Similar nonlinear relationships were previously shown between the octanol-water partition coefficients, expressed as log P, of the compounds and their biological activities. These and previous studies indicate that many physiochemical properties presently used in structure-activity studies may be intermediaries between the nonempirical molecular structure encoded in chi and measured biological activities.
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A very significant linear correlation was found between a recently proposed connectivity index and molecular polarizability, cavity surface areas calculated for water solubility of alcohols and hydrocarbons, and biological potencies of nonspecific local anesthetics. The simplicity of calculation of the index from the connectivity in the molecular skeleton, together with the very significant correlation, indicates its practical value.
The connectivity index, easily computed by arithmetic and based upon the degree of connectedness at each vertex in the molecular skeleton, is shown to give highly significant correlations with water solubility of branched, cyclic, and straight-chain alcohols and hydrocarbons as well as with boiling points of alcohols. These correlations are superior to those based on well-founded theory relating to solvent cavity surface area. An empirical modification to the connectivity index gave an improved correlation for both solubilities and boiling points.
The molecular connectivity index is shown to be linearly related to the octanol-water partition coefficients of a variety of monofunctional chemical classes including esters, alcohol, ketones, ethers, carboxylic acids, amines, and hydrocarbons. A modification of the connectivity index, taking into account the valency or degree of unsaturation of an atom, merges the data for all compounds except hydrocarbons. The connectivity index is also shown to be useful for correlating biological activity. These studies indicate that partition coefficients represent empirical quantities having intermediate significance between biological data and the more fundamental property of molecular connectivity.
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Data for 25 tropane analogues binding to the dopamine transporter were modeled using E-state molecular structure descriptors. Both E-state and hydrogen E-state descriptors appear in the model in both atom-level and atom-type descriptors. A statistically satisfactory four-variable model is obtained, and structure interpretation is given for each variable, emphasizing substituent influence on nonpolar parts of the molecule as well as the role of hydrogen bonding. A leave-group-out approach to model validation is presented in which each observation is removed from the data set three times in random groups of 20% of the whole data set. The average of the resulting predicted values constitutes consensus predictions for these data and supports the claim that the E-state model may be useful for prediction of pIC50 values for new compounds.