Hall Spencer E, Floriano Wely B, Vaidehi Nagarajan, Goddard William A
Materials and Process Simulation Center (MC: 139-74), California Institute of Technology, Pasadena, CA 91125, USA.
Chem Senses. 2004 Sep;29(7):595-616. doi: 10.1093/chemse/bjh063.
The first step in the perception of an odor is the activation of one or more olfactory receptors (ORs) following binding of the odorant molecule to the OR. In order to initiate the process of determining how the molecular level receptor-odorant interactions are related to odor perception, we used the MembStruk computational method to predict the three-dimensional (3-D) structure of the I7 OR for both mouse and rat. We then used the HierDock ligand docking computational method to predict the binding site and binding energy for the library of 56 odorants to these receptors for which experiment response data are now available. We find that the predicted 3-D structures of the mouse and rat I7 OR lead to predictions of odorant binding that are in good agreement with the experimental results, thus validating the accuracy of both the 3-D structure and the predicted binding site. In particular we predict that heptanal and octanal both bind strongly to both mouse and rat I7 ORs, which conflicts with the older literature but agrees with recent experiments. To provide the basis of additional validations of our 3-D structures, we also report the odorant binding site for a new odorant (8-hydroxy-octanal) with a novel functionality designed to bind strongly to mouse I7. Such validated computational methods should be very useful in predicting the structure and function of many other ORs.
嗅觉感知的第一步是气味分子与嗅觉受体(OR)结合后激活一个或多个嗅觉受体。为了启动确定分子水平的受体 - 气味分子相互作用与嗅觉感知如何相关的过程,我们使用MembStruk计算方法预测了小鼠和大鼠I7嗅觉受体的三维(3 - D)结构。然后,我们使用HierDock配体对接计算方法预测56种气味分子文库与这些受体的结合位点和结合能,目前已有这些受体的实验响应数据。我们发现,小鼠和大鼠I7嗅觉受体的预测三维结构导致气味分子结合的预测结果与实验结果高度一致,从而验证了三维结构和预测结合位点的准确性。特别是,我们预测庚醛和辛醛都能强烈结合小鼠和大鼠的I7嗅觉受体,这与早期文献相矛盾,但与最近的实验结果一致。为了为我们三维结构的进一步验证提供基础,我们还报告了一种具有新功能的新气味分子(8 - 羟基辛醛)的气味分子结合位点,该功能设计用于与小鼠I7强烈结合。这种经过验证的计算方法在预测许多其他嗅觉受体的结构和功能方面应该非常有用。