中山大学学报（自然科学版）（中英文）2024，Vol.63Issue(1)：86-95,10.DOI:10.13471/j.cnki.acta.snus.2023E040
基于嗅觉受体激活关系模拟的气味感知预测
Prediction of olfactory perception based on simulation of olfactory receptor activation relationships
摘要
Abstract
The interaction between odor molecules and olfactory receptors is a crucial step in olfactory perception and holds significant importance in unraveling the mechanism of olfactory perception.How-ever,obtaining experimental results on the activation relationship between odor molecules and human olfactory receptors is time-consuming and labor-intensive,and the available data on activation relation-ships is currently insufficient to support intelligent olfactory perception research.Therefore,this study constructed a network of olfactory receptor protein relationships and extracted features to train a model for predicting the activation relationship between odor molecules and olfactory receptors.By integrating the features of odor molecules and the simulated activation relationship of olfactory receptor proteins in olfactory perception prediction,high-precision regression prediction of human olfactory perception was achieved.Experimental results showed that the correlation coefficient of human olfactory percep-tion prediction fused with odor molecule-olfactory receptor activation relationship reached 0.94,signifi-cantly outperforming existing olfactory perception prediction models.Additionally,the study summa-rized the odor molecule-olfactory receptor activation-olfactory perception pattern,enriching our under-standing of the mechanism of smell perception.This study introduced observable features of olfactory receptor activation mechanisms into olfactory perception prediction,providing new insights for further exploration and understanding of the mechanism of olfactory perception.关键词
分子特征提取/蛋白质特征提取/嗅觉受体激活预测/气味感知预测/图卷积/机器学习Key words
molecular feature extraction/protein feature extraction/olfactory receptor activation prediction/olfactory perception prediction/graph convolution/machine learning分类
生物科学引用本文复制引用
左敏,胡静珺,颜文婧,王瑞东,张青川,范大维..基于嗅觉受体激活关系模拟的气味感知预测[J].中山大学学报（自然科学版）（中英文）,2024,63(1):86-95,10.基金项目
国家重点研发计划项目(2021YFD2100605) （2021YFD2100605）
北京市属高校教师队伍建设支持计划高水平科研创新团队项目(BPHR20220104) （BPHR20220104）
