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Biomedical subjects

G W Adamson

Publications and source records attributed to G W Adamson.

4 recordsLinked to original sources

A substructural analysis method for structure-activity correlation of heterocyclic compounds using Wiswesser line notation.

A method of substructural analysis for structure-property correlation of data sets including heterocyclic structures is described. Structural features allowing representation of occurrence and position of heteroatoms, ring fusions, and substituents are derived automatically from Wiswesser Line Notation representations. Structural feature sets of varying degrees of complexity may be derived, suitable either for sets of derivatives of a single ring system or for mixed sets containing several ring systems. The method is evaluated by correlating pKa values of 169 nitrogen heterocycles, including multisubstituted derivatives of 11 different ring systems. The technique could be carried out automatically with large machine-readable structure-property files and applied to a wide variety of properties.

Chemical Phenomena

A comparison of the performance of some similarity and dissimilarity measures in the automatic classification of chemical structures.

A group of 39 structures with local anesthetic activity has been classified automatically by calculating similarity or dissimilarity coefficients between pairs of structure diagrams and applying cluster analysis to the results. The performance of a number of similarity and dissimilarity coefficients has been compared using the relationship between structure and property. Simple coefficients and a distance function give more satisfactory results than functions using probabilistic weighting or standardized distance.

Anesthetics, Local

A method of structure-activity correlation using Wiswesser Line Notation.

Fragment sets generated manually from Wiswesser Line Notation have been used to correlate the chemical structures of a group of 79 penicillins with their serum binding activity, using multiple regression analysis. Statistically significant correlations were found, with results in accordance with the generally accepted nature of the binding. Algorithmic methods for the generation of such fragment sets are proposed and the use of various structural representations for structure-property correlation within chemical information systems is discussed.

Blood Proteins