Chapter 3

Discrimination of Small Molecules Using Topological Molecular Descriptors

Chandan Raychaudhury and Debnath Pal

Abstract

One of the subjects of special interest in chemical structure handling is to be able to associate a unique quantitative value to each and every chemical compound. The job is not only huge from the stand point of the number of compounds known and to be known, but quite difficult as well from the angle of developing a suitable method. One of the common situations is to be able to discriminate isomeric structures where a large number of compounds having closely related structures for same number of atoms come into picture and this number grows very fast as the number of atoms increases. Getting quantitative descriptors having power of discriminating one compound from another is an important requirement for storage, retrieval and handling of chemical structures as well as for predicting molecular properties/activities. In this chapter, we review several molecular descriptors, mostly topological distance based, in the form of topological indices considering the connectivity aspect of molecular structures only, that have useful discriminative power.

Total Pages: 55-73 (19)

Purchase Chapter  Book Details

RELATED BOOKS

.Frontiers in Computational Chemistry.
.Frontiers in Computational Chemistry.
.DFT Based Studies on Bioactive Molecules.
.Frontiers in Computational Chemistry.