Transport features predict if a molecule is odorous

被引:30
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 [J].
Banks, WH .
JOURNAL OF THE CHEMICAL SOCIETY, 1939, :292-295
[2]   STRUCTURE ACTIVITY RELATIONSHIPS IN CHEMORECEPTION BY HUMAN OLFACTION [J].
BOELENS, H .
TRENDS IN PHARMACOLOGICAL SCIENCES, 1983, 4 (10) :421-426
[3]   A NOVEL MULTIGENE FAMILY MAY ENCODE ODORANT RECEPTORS - A MOLECULAR-BASIS FOR ODOR RECOGNITION [J].
BUCK, L ;
AXEL, R .
CELL, 1991, 65 (01) :175-187
[4]   Boiling point and chemical constitution Part I An additive function of molecular weight and boiling point [J].
Burnop, VCE .
JOURNAL OF THE CHEMICAL SOCIETY, 1938, :826-829
[5]   Humans Can Discriminate More than 1 Trillion Olfactory Stimuli [J].
Bushdid, C. ;
Magnasco, M. O. ;
Vosshall, L. B. ;
Keller, A. .
SCIENCE, 2014, 343 (6177) :1370-1372
[6]   The number of olfactory stimuli that humans can discriminate is still unknown [J].
Gerkin, Richard C. ;
Castro, Jason B. .
ELIFE, 2015, 4 :1-15
[7]   Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs [J].
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. .
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 [J].
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 .
JOURNAL OF BIOLOGICAL CHEMISTRY, 2021, 297 (02)
[9]   A MASS-TRANSPORT MODEL OF OLFACTION [J].
HAHN, I ;
SCHERER, PW ;
MOZELL, MM .
JOURNAL OF THEORETICAL BIOLOGY, 1994, 167 (02) :115-128
[10]   Nasal odorant metabolism: enzymes, activity and function in olfaction [J].
Heydel, Jean-Marie ;
Faure, Philippe ;
Neiers, Fabrice .
DRUG METABOLISM REVIEWS, 2019, 51 (02) :224-245