Abstract
Chemical
similarity between molecules, is a key concept in drug design and drug
discovery. The advance in computational science, had given rise to many new
possibilities for understand difference and similarity between molecules. In
particular, is very important the QSAR (quantitative structure–activity relationship )
paradigm (1). Typical approaches to calculate chemical similarities use chemical
fingerprints or QSAR, but this doesn´t consider the thermochemical properties
of the molecules. In others words chemical similarity is described as an inverse of a measure of
distance in descriptor space. In this work is presented a new method, for
calculate chemical similarities