Transport features predict if a molecule is odorous

被引:26
作者
Mayhew, Emily J. [1 ]
Arayata, Charles J. [2 ]
Gerkin, Richard C. [3 ]
Lee, Brian K. [4 ]
Magill, Jonathan M. [2 ]
Snyder, Lindsey L. [2 ]
Little, Kelsie A. [2 ]
Yu, Chung Wen [2 ]
Mainland, Joel D. [2 ,5 ]
机构
[1] Michigan State Univ, Dept Food Sci & Human Nutr, E Lansing, MI 48824 USA
[2] Monell Chem Senses Ctr, 3500 Market St, Philadelphia, PA 19104 USA
[3] Arizona State Univ, Sch Life Sci, Tempe, AZ 85287 USA
[4] Google Res, Brain Team, Cambridge, MA 02142 USA
[5] Univ Penn, Dept Neurosci, Philadelphia, PA 19104 USA
关键词
olfaction; odor space; physical transport; machine learning; BOILING-POINT;
D O I
10.1073/pnas.2116576119
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In studies of vision and audition, stimuli can be chosen to span the visible or audible spectrum; in olfaction, the axes and boundaries defining the analogous odorous space are unknown. As a result, the population of olfactory space is likewise unknown, and anecdotal estimates of 10,000 odorants have endured. The journey a molecule must take to reach olfactory receptors (ORs) and produce an odor percept suggests some chemical criteria for odorants: a molecule must 1) be volatile enough to enter the air phase, 2) be nonvolatile and hydrophilic enough to sorb into the mucous layer coating the olfactory epithelium, 3) be hydrophobic enough to enter an OR binding pocket, and 4) activate at least one OR. Here, we develop a simple and interpretable quantitative model that reliably predicts whether a molecule is odorous or odorless based solely on the first three criteria. Applying our model to a database of all possible small organic molecules, we estimate that at least 40 billion possible compounds are odorous, six orders of magnitude larger than current estimates of 10,000. With this model in hand, we can define the boundaries of olfactory space in terms of molecular volatility and hydrophobicity, enabling representative sampling of olfactory stimulus space.
引用
收藏
页数:6
相关论文
共 20 条
  • [1] Considerations of a vapour pressure-temperature equation, and their relatton to Burnop's boiling-point funchon
    Banks, WH
    [J]. JOURNAL OF THE CHEMICAL SOCIETY, 1939, : 292 - 295
  • [2] STRUCTURE ACTIVITY RELATIONSHIPS IN CHEMORECEPTION BY HUMAN OLFACTION
    BOELENS, H
    [J]. TRENDS IN PHARMACOLOGICAL SCIENCES, 1983, 4 (10) : 421 - 426
  • [3] A NOVEL MULTIGENE FAMILY MAY ENCODE ODORANT RECEPTORS - A MOLECULAR-BASIS FOR ODOR RECOGNITION
    BUCK, L
    AXEL, R
    [J]. CELL, 1991, 65 (01) : 175 - 187
  • [4] Boiling point and chemical constitution Part I An additive function of molecular weight and boiling point
    Burnop, VCE
    [J]. JOURNAL OF THE CHEMICAL SOCIETY, 1938, : 826 - 829
  • [5] Humans Can Discriminate More than 1 Trillion Olfactory Stimuli
    Bushdid, C.
    Magnasco, M. O.
    Vosshall, L. B.
    Keller, A.
    [J]. SCIENCE, 2014, 343 (6177) : 1370 - 1372
  • [6] The number of olfactory stimuli that humans can discriminate is still unknown
    Gerkin, Richard C.
    Castro, Jason B.
    [J]. ELIFE, 2015, 4 : 1 - 15
  • [7] Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs
    Gulshan, Varun
    Peng, Lily
    Coram, Marc
    Stumpe, Martin C.
    Wu, Derek
    Narayanaswamy, Arunachalam
    Venugopalan, Subhashini
    Widner, Kasumi
    Madams, Tom
    Cuadros, Jorge
    Kim, Ramasamy
    Raman, Rajiv
    Nelson, Philip C.
    Mega, Jessica L.
    Webster, R.
    [J]. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2016, 316 (22): : 2402 - 2410
  • [8] OdoriFy: A conglomerate of artificial intelligence-driven prediction engines for olfactory decoding
    Gupta, Ria
    Mittal, Aayushi
    Agrawal, Vishesh
    Gupta, Sushant
    Gupta, Krishan
    Jain, Rishi Raj
    Garg, Prakriti
    Mohanty, Sanjay Kumar
    Sogani, Riya
    Chhabra, Harshit Singh
    Gautam, Vishakha
    Mishra, Tripti
    Sengupta, Debarka
    Ahuja, Gaurav
    [J]. JOURNAL OF BIOLOGICAL CHEMISTRY, 2021, 297 (02)
  • [9] A MASS-TRANSPORT MODEL OF OLFACTION
    HAHN, I
    SCHERER, PW
    MOZELL, MM
    [J]. JOURNAL OF THEORETICAL BIOLOGY, 1994, 167 (02) : 115 - 128
  • [10] Nasal odorant metabolism: enzymes, activity and function in olfaction
    Heydel, Jean-Marie
    Faure, Philippe
    Neiers, Fabrice
    [J]. DRUG METABOLISM REVIEWS, 2019, 51 (02) : 224 - 245