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Published March 2005 | Supplemental Material
Journal Article Open

Test of the Binding Threshold Hypothesis for olfactory receptors: Explanation of the differential binding of ketones to the mouse and human orthologs of olfactory receptor 912-93

Abstract

We tested the Binding Threshold Hypothesis (BTH) for activation of olfactory receptors (ORs): To activate an OR, the odorant must bind to the OR with binding energy above some threshold value. The olfactory receptor (OR) 912‐93 is known experimentally to be activated by ketones in mouse, but is inactive to ketones in human, despite an amino acid sequence identity of ∼66%. To investigate the origins of this difference, we used the MembStruk first‐principles method to predict the tertiary structure of the mouse OR 912‐93 (mOR912‐93), and the HierDock first‐principles method to predict the binding site for ketones to this receptor. We found that the strong binding of ketones to mOR912‐93 is dominated by a hydrogen bond of the ketone carbonyl group to Ser105. All ketones predicted to have a binding energy stronger than E_(BindThresh) = 26 kcal/mol were observed experimentally to activate this OR, while the two ketones predicted to bind more weakly do not. In addition, we predict that 2‐undecanone and 2‐dodecanone both bind sufficiently strongly to activate mOR912‐93. A similar binding site for ketones was predicted in hOR912‐93, but the binding is much weaker because the human ortholog has a Gly at the position of Ser105. We predict that mutating this Gly to Ser in human should lead to activation of hOR912‐93 by these ketones. Experimental substantiations of the above predictions would provide further tests of the validity of the BTH, our predicted 3D structures, and our predicted binding sites for these ORs.

Additional Information

© 2005 The Protein Society. (RECEIVED September 15, 2004; FINAL REVISION November 2, 2004; ACCEPTED November 2, 2004) We thank the Caltech Summer Undergraduate Research Fellowship (SURF) program and the NIH for providing support for this research. The computational facilities of the MSC used in this research have been supported by grants from ARO‐DURIP, ONR‐DURIP, NSF (MRI, CHE), and IBM‐SUR. In addition, the MSC is supported by grants from DOE ASCI, ARO‐MURI, ARO‐DARPA, ONR‐MURI, NIH, NSF, ONR, Aventis Biopharma, General Motors, ChevronTexaco, Berlex Pharma, Seiko Epson, Beckman Institute, and Asahi Kasei.

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