MULTIPLE HUMAN TASTE RECEPTOR-SITES - A MOLECULAR MODELING APPROACH

Numerous experimental data on the human peripheral taste system sugges t the existence of multiple low-affinity and low-specificity receptor sites which are responsible for the detection and the complete discrim ination of a very large number of organic molecules. According to this hypothesis, a given molecule interacts with numerous taste receptors and vice versa. Statistical analysis of taste intensities estimated by 58 human subjects for various molecules enables the calculation of ta ste intermolecular distances. For the present modeling study we hypoth esized that a short taste distance (i.e. taste similarity) between two distinct molecules indicates that they bind with similar distribution s of affinities to the taste receptors, and hence display similar bind ing motifs. In order to find common molecular binding motifs among 14 selected organic tastants, hydrogen-bonding and hydrophobic interactio n properties were mapped onto their molecular surfaces. The 14 surface s were then cut in 240 fragments, most of which were made up of 2-4 po tentially interacting zones. A correspondence index was defined to mea sure the analogy between two optimally superimposed fragments. The 75 most representative fragments were all matched pairwise. Twelve distin ct clusters of fragments were isolated from the 2775 calculated compar isons. These 12 fragment types were used to calculate structural simil arity distances. We then performed a combinatorial analysis to identif y which fragment combination best reconciled structural and taste dist ances. We finally identified an optimal subset of seven fragment types out of the 12, which significantly and best accounted for the 91 pair wise taste distances between all 14 modeled tastants. These seven vali dated fragment types are therefore presented as good candidates to be recognized by the same number of distinct taste receptor sites. Potent ial applications of these identified binding motifs to tastant design are suggested.