Olfactory receptors are important transmembrane proteins that enable organisms to perceive odours and react to them. Structural understanding of insect olfactory receptors is scarce. In this review, we discuss different transmembrane helix prediction methods, consensus methods, topology prediction methods which can enable topology prediction of these proteins. We discuss the current success rates by applying the algorithms on few G-protein coupled receptors of known structure and olfactory receptor sequences and outstanding challenges. Finally, we discuss the impact of topology prediction on biology and modeling of ORs.

中文翻译：

---

昆虫嗅觉受体的拓扑预测。

嗅觉受体是重要的跨膜蛋白，可使生物体感知气味并对其进行反应。对昆虫嗅觉受体的结构了解很少。在这篇综述中，我们讨论了可以实现这些蛋白质拓扑预测的不同跨膜螺旋预测方法，共识方法，拓扑预测方法。我们通过将算法应用于已知结构和嗅觉受体序列以及突出挑战的少数G蛋白偶联受体来讨论当前的成功率。最后，我们讨论了拓扑预测对ORs生物学和建模的影响。