Bavan Selvan, Sherman Benjamin, Luetje Charles W, Abaffy Tatjana
Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, Florida, United States of America.
PLoS One. 2014 Mar 17;9(3):e92064. doi: 10.1371/journal.pone.0092064. eCollection 2014.
The ligands for many olfactory receptors remain largely unknown despite successful heterologous expression of these receptors. Understanding the molecular receptive range of olfactory receptors and deciphering the olfactory recognition code are hampered by the huge number of odorants and large number of olfactory receptors, as well as the complexity of their combinatorial coding. Here, we present an in silico screening approach to find additional ligands for a mouse olfactory receptor that allows improved definition of its molecular receptive range. A virtual library of 574 odorants was screened against a mouse olfactory receptor MOR42-3. We selected the top 20 candidate ligands using two different scoring functions. These 40 odorant candidate ligands were then tested in vitro using the Xenopus oocyte heterologous expression system and two-electrode voltage clamp electrophysiology. We experimentally confirmed 22 of these ligands. The candidate ligands were screened for both agonist and antagonist activity. In summary, we validated 19 agonists and 3 antagonists. Two of the newly identified antagonists were of low potency. Several previously known ligands (mono- and dicarboxylic acids) are also confirmed in this study. However, some of the newly identified ligands were structurally dissimilar compounds with various functional groups belonging to aldehydes, phenyls, alkenes, esters and ethers. The high positive predictive value of our in silico approach is promising. We believe that this approach can be used for initial deorphanization of olfactory receptors as well as for future comprehensive studies of molecular receptive range of olfactory receptors.
尽管许多嗅觉受体已成功实现异源表达,但其配体在很大程度上仍不为人知。大量的气味剂、众多的嗅觉受体以及它们组合编码的复杂性,阻碍了对嗅觉受体分子感受范围的理解和嗅觉识别密码的破译。在此,我们提出一种计算机模拟筛选方法,以寻找小鼠嗅觉受体的其他配体,从而更好地定义其分子感受范围。针对小鼠嗅觉受体MOR42 - 3对一个包含574种气味剂的虚拟文库进行了筛选。我们使用两种不同的评分函数选出了前20个候选配体。然后利用非洲爪蟾卵母细胞异源表达系统和双电极电压钳电生理学对这40种气味剂候选配体进行了体外测试。我们通过实验证实了其中22种配体。对候选配体进行了激动剂和拮抗剂活性筛选。总之,我们验证了19种激动剂和3种拮抗剂。新鉴定出的两种拮抗剂效力较低。本研究还证实了几种先前已知的配体(一元和二元羧酸)。然而,新鉴定出的一些配体是结构不同的化合物,带有醛、苯基、烯烃、酯和醚等各种官能团。我们的计算机模拟方法具有较高的阳性预测价值,很有前景。我们相信这种方法可用于嗅觉受体的初步去孤儿化研究以及未来对嗅觉受体分子感受范围的全面研究。