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. Author manuscript; available in PMC: 2015 Apr 5.
Published in final edited form as: J Biosci. 2014 Sep;39(4):555–563. doi: 10.1007/s12038-014-9447-7

Figure 1.

Figure 1

A computational method to predict phenol-responsive odor receptors. (A) Schematic of a computational approach to identify amino acid motifs shared among odor receptors that respond to phenols. (B) Odor receptors that are identified from scanning the Drosophila genome using conserved amino acid motifs found in phenol odor receptors. (C) Amino acid sequence alignment of Or46aA and Or46aB. (D) Odorant response spectra of the ΔHalo ab3A ORNs ectopically expressing Or46aB at odor doses of 10−2 (center panel) and 10− (right panel) (means and SEMs). Error bars = S.E.M.; n=10–12.