In principle, the InfraRed (IR) spectra have very appealing properties for
QSAR research: they are generated in the range of low energy molecular inte
ractions that play a fundamental role in life (e.g., for molecular recognit
ion), and they are extremely specific fingerprints of the molecules. We com
pared the information carried by the fingerprint region of the IR spectra (
1500-600 cm(-1)) with that of a range of descriptors presently in use in th
e QSAR field: (a) classical physical chemical and quantum mechanical proper
ties (logP, MR, HOMO, LUMO); (b) molecular connectivities; (c) 2-D molecula
r distances; and (d) a novel infrared range vibration based theoretical des
criptor (EVA). Much redundancy and overlapping was found among descriptors
such as connectivities, 2-D distances, and theoretical spectral EVA descrip
tors. On the contrary, the complex information carried by IR spectra (finge
rprint region) was markedly different from that codified in various molecul
ar descriptors presently in use in QSAR practice, thus pointing to the impo
rtance of further studying the potential relevance of IR information for QS
AR analysis.