branchedness, polarity, electronegative, electron-richness and hydrogen bonding property and also consider contribution of active hydrogen atoms. So, the ETA indices consider more than just graph theoretical aspects, employing detailed information on the atoms, bonds and the connectivity therein. Technically it will be difficult to assume any single descriptor to encode universal chemical features. Different aspects of chemical information are expressed in modeling different endpoints. In other words, endpoint like aqueous solubility or partition coefficient can be explained by molecular size, branchedness or hydrogen bonding aspects while electronic features and polarity information of a molecule may be of importance while developing predictive models against molar refractivity. The ETA formalism attempts to provide a platform of different chemical attributes so as to enable the designer with broader choice of predictor variables within a single category (Roy & Das, 2011b; Roy & Ghosh, 2010). The ETA parameters are also appended with dynamic chemical foundation suitable for deriving mechanistic basis. Moreover, all the studies performed till date using the ETA indices infer that they contain sufficient diagnostic potential for the development of predictive quantitative models for various classes of chemicals namely aliphatic compounds, aromatic compounds, agrochemicals, drugs and pharmaceuticals, ionic liquids etc. encom­passing industrial, laboratory and house hold usage. Like every successful innovation walks through the development of new ideas and concepts, the ETA indices have followed a path of novel chemical exploration and we shall look forward to more nourishment of enriched chemical information in future.