1
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Wang J, Zhang Q, Fan W, Shi Q, Mao J, Xie J, Chai G, Zhang C. Deciphering olfactory receptor binding mechanisms: a structural and dynamic perspective on olfactory receptors. Front Mol Biosci 2025; 11:1498796. [PMID: 39845900 PMCID: PMC11751049 DOI: 10.3389/fmolb.2024.1498796] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2024] [Accepted: 12/23/2024] [Indexed: 01/24/2025] Open
Abstract
Olfactory receptors, classified as G-protein coupled receptors (GPCRs), have been a subject of scientific inquiry since the early 1950s. Historically, investigations into the sensory mechanisms of olfactory receptors were often confined to behavioral characteristics in model organisms or the expression of related proteins and genes. However, with the development of cryo-electron microscopy techniques, it has gradually become possible to decipher the specific structures of olfactory receptors in insects and humans. This has provided new insights into the binding mechanisms between odor molecules and olfactory receptors. Furthermore, due to the rapid advancements in related fields such as computer simulations, the prediction and exploration of odor molecule binding to olfactory receptors have been progressively achieved through molecular dynamics simulations. Through this comprehensive review, we aim to provide a thorough analysis of research related to the binding mechanisms between odor molecules and olfactory receptors from the perspectives of structural biology and molecular dynamics simulations. Finally, we will provide an outlook on the future of research in the field of olfactory receptor sensory mechanisms.
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Affiliation(s)
- Jingtao Wang
- College of Chemistry, Zhengzhou University, Zhengzhou, Henan, China
- Department of tobacco flavor, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
| | - Qidong Zhang
- Department of tobacco flavor, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
| | - Wu Fan
- Department of tobacco flavor, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
| | - Qingzhao Shi
- Department of tobacco flavor, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
| | - Jian Mao
- Department of tobacco flavor, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
| | - Jianping Xie
- Department of tobacco flavor, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
| | - Guobi Chai
- Department of tobacco flavor, Zhengzhou Tobacco Research Institute of CNTC, Zhengzhou, Henan, China
- Food Laboratory of Zhongyuan, Flavour Science Research Center of Zhengzhou University, Zhengzhou, Henan, China
| | - Chenglei Zhang
- Medical Laboratory, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China
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2
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Yang P, Luo T, Yang S, Zhang A, Tang Y, Chen L, Wang J, Zhao Y, Zhong Z, Li X, Han Z, Zhang Y, Tang Y, Ma J, Jin L, Long K, Li M, Lu L. Identification of Olfactory Receptors Responding to Androstenone and the Key Structure Determinant in Domestic Pig. Curr Issues Mol Biol 2024; 47:13. [PMID: 39852128 PMCID: PMC11763519 DOI: 10.3390/cimb47010013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2024] [Revised: 12/13/2024] [Accepted: 12/21/2024] [Indexed: 01/26/2025] Open
Abstract
Olfactory receptors (ORs) are members of the transmembrane G protein-coupled receptor superfamily, playing a crucial role in odor recognition, which further mediates crucial biological processes in mammals. In sows, androstenone can trigger sexual behaviors through olfaction, but the underlying mechanism remains to be explored. To efficiently and accurately screen pig olfactory receptors responding to androstenone and the key structure determinant, we adapted the high-throughput RNA-seq strategy to screen the altered genes upon androstenone treatment in the olfactory epithelium of pigs, yielding 1397 downregulated genes. Of which, 15 OR genes and 49 OR-like genes were candidate androstenone-responsive genes, and 5 ORs (OR2D2, OR8D1, OR8D2, OR10Z1 and OR7D4) were proven as responsible for androstenone-mediated olfaction in vitro. Among the five ORs, pig OR7D4 has the highest level of androstenone response. To further find the structural determinant, we performed ligand-binding cavity analysis on pig OR7D4 with androstenone, predicted seven potential structural sites and further confirmed that F178 and T203 are the key sites for recognizing androstenone. Nevertheless, the natural non-synonymous mutation M133V (rs696400829) of pig OR7D4 was proven to significantly impair the respondence to androstenone. This is the first time the ORs responding to androstenone in pigs and the key structural determinant of pig OR7D4 were identified, which highlights the significance of investigating the role of OR7D4 in pig reproduction performance in the future.
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Affiliation(s)
- Peidong Yang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Tingting Luo
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Shuqi Yang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Anjing Zhang
- Department of Pig Production, Chongqing Academy of Animal Science, Chongqing 402460, China; (A.Z.); (L.C.); (J.W.)
| | - Yuan Tang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Li Chen
- Department of Pig Production, Chongqing Academy of Animal Science, Chongqing 402460, China; (A.Z.); (L.C.); (J.W.)
| | - Jinyong Wang
- Department of Pig Production, Chongqing Academy of Animal Science, Chongqing 402460, China; (A.Z.); (L.C.); (J.W.)
| | - Yongju Zhao
- College of Animal Science and Technology, Southwest University, Chongqing 402460, China;
| | - Zhining Zhong
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Xuemin Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Ziyin Han
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Yupei Zhang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Yue Tang
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Jideng Ma
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Long Jin
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Keren Long
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Mingzhou Li
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
| | - Lu Lu
- State Key Laboratory of Swine and Poultry Breeding Industry, College of Animal Science and Technology, Sichuan Agricultural University, Chengdu 610000, China; (P.Y.); (T.L.); (S.Y.); (Y.T.); (Z.Z.); (X.L.); (Z.H.); (Y.Z.); (Y.T.); (J.M.); (L.J.); (K.L.)
- Department of Pig Production, Chongqing Academy of Animal Science, Chongqing 402460, China; (A.Z.); (L.C.); (J.W.)
- College of Animal Science and Technology, Southwest University, Chongqing 402460, China;
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3
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Naressi RG, Malnic B. Engineered receptors show how humans tell countless odour molecules apart. Nature 2024; 635:295-296. [PMID: 39478064 DOI: 10.1038/d41586-024-03396-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2024]
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4
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Kogut-Günthel MM, Zara Z, Nicoli A, Steuer A, Lopez-Balastegui M, Selent J, Karanth S, Koehler M, Ciancetta A, Abiko LA, Hagn F, Di Pizio A. The path to the G protein-coupled receptor structural landscape: Major milestones and future directions. Br J Pharmacol 2024. [PMID: 39209310 DOI: 10.1111/bph.17314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 06/14/2024] [Accepted: 06/28/2024] [Indexed: 09/04/2024] Open
Abstract
G protein-coupled receptors (GPCRs) play a crucial role in cell function by transducing signals from the extracellular environment to the inside of the cell. They mediate the effects of various stimuli, including hormones, neurotransmitters, ions, photons, food tastants and odorants, and are renowned drug targets. Advancements in structural biology techniques, including X-ray crystallography and cryo-electron microscopy (cryo-EM), have driven the elucidation of an increasing number of GPCR structures. These structures reveal novel features that shed light on receptor activation, dimerization and oligomerization, dichotomy between orthosteric and allosteric modulation, and the intricate interactions underlying signal transduction, providing insights into diverse ligand-binding modes and signalling pathways. However, a substantial portion of the GPCR repertoire and their activation states remain structurally unexplored. Future efforts should prioritize capturing the full structural diversity of GPCRs across multiple dimensions. To do so, the integration of structural biology with biophysical and computational techniques will be essential. We describe in this review the progress of nuclear magnetic resonance (NMR) to examine GPCR plasticity and conformational dynamics, of atomic force microscopy (AFM) to explore the spatial-temporal dynamics and kinetic aspects of GPCRs, and the recent breakthroughs in artificial intelligence for protein structure prediction to characterize the structures of the entire GPCRome. In summary, the journey through GPCR structural biology provided in this review illustrates how far we have come in decoding these essential proteins architecture and function. Looking ahead, integrating cutting-edge biophysics and computational tools offers a path to navigating the GPCR structural landscape, ultimately advancing GPCR-based applications.
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Affiliation(s)
| | - Zeenat Zara
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
- Faculty of Science, University of South Bohemia in Ceske Budejovice, České Budějovice, Czech Republic
| | - Alessandro Nicoli
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
- Professorship for Chemoinformatics and Protein Modelling, Department of Molecular Life Science, School of Life Science, Technical University of Munich, Freising, Germany
| | - Alexandra Steuer
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
- Professorship for Chemoinformatics and Protein Modelling, Department of Molecular Life Science, School of Life Science, Technical University of Munich, Freising, Germany
| | - Marta Lopez-Balastegui
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute & Pompeu Fabra University, Barcelona, Spain
| | - Jana Selent
- Research Programme on Biomedical Informatics (GRIB), Hospital del Mar Medical Research Institute & Pompeu Fabra University, Barcelona, Spain
| | - Sanjai Karanth
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
| | - Melanie Koehler
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
- TUM Junior Fellow at the Chair of Nutritional Systems Biology, Technical University of Munich, Freising, Germany
| | - Antonella Ciancetta
- Department of Chemical, Pharmaceutical and Agricultural Sciences, University of Ferrara, Ferrara, Italy
| | - Layara Akemi Abiko
- Focal Area Structural Biology and Biophysics, Biozentrum, University of Basel, Basel, Switzerland
| | - Franz Hagn
- Structural Membrane Biochemistry, Bavarian NMR Center, Dept. Bioscience, School of Natural Sciences, Technical University of Munich, Munich, Germany
- Institute of Structural Biology (STB), Helmholtz Munich, Neuherberg, Germany
| | - Antonella Di Pizio
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
- Professorship for Chemoinformatics and Protein Modelling, Department of Molecular Life Science, School of Life Science, Technical University of Munich, Freising, Germany
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5
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Pirona L, Ballabio F, Alfonso-Prieto M, Capelli R. Calcium-Driven In Silico Inactivation of a Human Olfactory Receptor. J Chem Inf Model 2024; 64:2971-2978. [PMID: 38523266 DOI: 10.1021/acs.jcim.4c00249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/26/2024]
Abstract
Conformational changes as well as molecular determinants related to the activation and inactivation of olfactory receptors are still poorly understood due to the intrinsic difficulties in the structural determination of this GPCR family. Here, we perform, for the first time, the in silico inactivation of human olfactory receptor OR51E2, highlighting the possible role of calcium in this receptor state transition. Using molecular dynamics simulations, we show that a divalent ion in the ion binding site, coordinated by two acidic residues at positions 2.50 and 3.39 conserved across most ORs, stabilizes the receptor in its inactive state. In contrast, protonation of the same two acidic residues is not sufficient to drive inactivation within the microsecond timescale of our simulations. Our findings suggest a novel molecular mechanism for OR inactivation, potentially guiding experimental validation and offering insights into the possible broader role of divalent ions in GPCR signaling.
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Affiliation(s)
- Lorenza Pirona
- Department of Biosciences, Università degli Studi di Milano, Via Celoria 26, I-20133 Milano, Italy
| | - Federico Ballabio
- Department of Biosciences, Università degli Studi di Milano, Via Celoria 26, I-20133 Milano, Italy
| | - Mercedes Alfonso-Prieto
- Computational Biomedicine, Institute for Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, D-54248 Jülich, Germany
| | - Riccardo Capelli
- Department of Biosciences, Università degli Studi di Milano, Via Celoria 26, I-20133 Milano, Italy
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6
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Wang J, Wang D, Huang M, Sun B, Ren F, Wu J, Zhang J, Li H, Sun X. Decoding Molecular Mechanism Underlying Human Olfactory Receptor OR8D1 Activation by Sotolone Enantiomers. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:5403-5415. [PMID: 38386648 DOI: 10.1021/acs.jafc.3c09142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2024]
Abstract
Sotolone, a chiral compound, plays an important role in the food industry. Herein, (R)-/(S)-sotolone were separated to determine their odor characteristics and thresholds in air (R-form: smoky, burned, herb, and green aroma, 0.0514 μg/m3; S-form: sweet, milk, acid, and nutty aroma, 0.0048 μg/m3). OR8D1 responses to (R)-/(S)-sotolone were detected in a HEK293 cell-based luminescence assay. (S)-Sotolone was a more potent agonist than (R)-sotolone (EC50 values of 84.98 ± 1.05 and 167.20 ± 0.25 μmol/L, respectively). Molecular dynamics simulations and molecular mechanics Poisson-Boltzmann surface area analyses confirmed that the combination of (S)-sotolone and OR8D1 was more stable than that of (R)-sotolone. Odorant docking, multiple sequence alignments, site-directed mutagenesis, and functional studies with recombinant odorant receptors (ORs) in a cell-based luminescence assay identified 11 amino-acid residues that influence the enantioselectivity of OR8D1 toward sotolone significantly and that N2065.46 was indispensable to the activation of OR8D1 by (S)-sotolone.
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Affiliation(s)
- Juan Wang
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China
- Key Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Ministry of Education, Beijing 100048, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100193, China
| | - Danqing Wang
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China
- Key Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Ministry of Education, Beijing 100048, China
| | - Mingquan Huang
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China
- Key Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Ministry of Education, Beijing 100048, China
| | - Baoguo Sun
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China
- Key Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Ministry of Education, Beijing 100048, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100193, China
| | - Fazheng Ren
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, Department of Nutrition and Health, China Agricultural University, Beijing 100193, China
| | - Jihong Wu
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China
- Key Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Ministry of Education, Beijing 100048, China
| | - Jinglin Zhang
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China
- Key Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Ministry of Education, Beijing 100048, China
| | - Hehe Li
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China
- Key Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Ministry of Education, Beijing 100048, China
| | - Xiaotao Sun
- Key Laboratory of Brewing Molecular Engineering of China Light Industry, Beijing Technology & Business University (BTBU), Beijing 100048, China
- Key Laboratory of Geriatric Nutrition and Health, Beijing Technology and Business University, Ministry of Education, Beijing 100048, China
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7
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Wu C, Xu M, Dong J, Cui W, Yuan S. The structure and function of olfactory receptors. Trends Pharmacol Sci 2024; 45:268-280. [PMID: 38296675 DOI: 10.1016/j.tips.2024.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 01/08/2024] [Accepted: 01/09/2024] [Indexed: 02/02/2024]
Abstract
Olfactory receptors (ORs) form the most important chemosensory receptor family responsible for our sense of smell in the nasal olfactory epithelium. This receptor family belongs to the class A G protein-coupled receptors (GPCRs). Recent research has indicated that ORs are involved in many nonolfactory physiological processes in extranasal tissue, such as the brain, pancreas, and testes, and implies the possible role of their dysregulation in various diseases. The recently released structures of OR51E2 and consensus OR52 have also unveiled the uniqueness of ORs from other class A GPCR members. In this review, we discuss these recent developments and computational modeling efforts toward understanding the structural properties of unresolved ORs, which could guide potential future OR-targeted drug discovery.
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Affiliation(s)
- Chenyang Wu
- The AlphaMol-SIAT Joint Laboratory, Shenzhen 518055, China; The Research Center for Computer-aided Drug Discovery, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Marc Xu
- The AlphaMol-SIAT Joint Laboratory, Shenzhen 518055, China; The Research Center for Computer-aided Drug Discovery, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Junlin Dong
- The AlphaMol-SIAT Joint Laboratory, Shenzhen 518055, China; The Research Center for Computer-aided Drug Discovery, The Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wenqiang Cui
- The AlphaMol-SIAT Joint Laboratory, Shenzhen 518055, China
| | - Shuguang Yuan
- The AlphaMol-SIAT Joint Laboratory, Shenzhen 518055, China; AlphaMol Science Ltd, Shenzhen 518055, China.
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8
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Scharf MM, Humphrys LJ, Berndt S, Di Pizio A, Lehmann J, Liebscher I, Nicoli A, Niv MY, Peri L, Schihada H, Schulte G. The dark sides of the GPCR tree - research progress on understudied GPCRs. Br J Pharmacol 2024. [PMID: 38339984 DOI: 10.1111/bph.16325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 11/24/2023] [Accepted: 01/08/2024] [Indexed: 02/12/2024] Open
Abstract
A large portion of the human GPCRome is still in the dark and understudied, consisting even of entire subfamilies of GPCRs such as odorant receptors, class A and C orphans, adhesion GPCRs, Frizzleds and taste receptors. However, it is undeniable that these GPCRs bring an untapped therapeutic potential that should be explored further. Open questions on these GPCRs span diverse topics such as deorphanisation, the development of tool compounds and tools for studying these GPCRs, as well as understanding basic signalling mechanisms. This review gives an overview of the current state of knowledge for each of the diverse subfamilies of understudied receptors regarding their physiological relevance, molecular mechanisms, endogenous ligands and pharmacological tools. Furthermore, it identifies some of the largest knowledge gaps that should be addressed in the foreseeable future and lists some general strategies that might be helpful in this process.
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Affiliation(s)
- Magdalena M Scharf
- Karolinska Institutet, Dept. Physiology & Pharmacology, Sec. Receptor Biology & Signaling, Stockholm, Sweden
| | - Laura J Humphrys
- Institute of Pharmacy, University of Regensburg, Regensburg, Germany
| | - Sandra Berndt
- Rudolf Schönheimer Institute for Biochemistry, Molecular Biochemistry, University of Leipzig, Leipzig, Germany
| | - Antonella Di Pizio
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
- Chemoinformatics and Protein Modelling, Department of Molecular Life Science, School of Life Science, Technical University of Munich, Freising, Germany
| | - Juliane Lehmann
- Rudolf Schönheimer Institute for Biochemistry, Molecular Biochemistry, University of Leipzig, Leipzig, Germany
| | - Ines Liebscher
- Rudolf Schönheimer Institute for Biochemistry, Molecular Biochemistry, University of Leipzig, Leipzig, Germany
| | - Alessandro Nicoli
- Leibniz Institute for Food Systems Biology at the Technical University of Munich, Freising, Germany
- Chemoinformatics and Protein Modelling, Department of Molecular Life Science, School of Life Science, Technical University of Munich, Freising, Germany
| | - Masha Y Niv
- The Institute of Biochemistry, Food Science and Nutrition, Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Lior Peri
- The Institute of Biochemistry, Food Science and Nutrition, Robert H. Smith Faculty of Agriculture, Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Hannes Schihada
- Institute of Pharmaceutical Chemistry, Philipps-University Marburg, Marburg, Germany
| | - Gunnar Schulte
- Karolinska Institutet, Dept. Physiology & Pharmacology, Sec. Receptor Biology & Signaling, Stockholm, Sweden
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9
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Nicoli A, Weber V, Bon C, Steuer A, Gustincich S, Gainetdinov RR, Lang R, Espinoza S, Di Pizio A. Structure-Based Discovery of Mouse Trace Amine-Associated Receptor 5 Antagonists. J Chem Inf Model 2023; 63:6667-6680. [PMID: 37847527 PMCID: PMC10647090 DOI: 10.1021/acs.jcim.3c00755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Indexed: 10/18/2023]
Abstract
Trace amine-associated receptors (TAARs) were discovered in 2001 as new members of class A G protein-coupled receptors (GPCRs). With the only exception of TAAR1, TAAR members (TAAR2-9, also known as noncanonical olfactory receptors) were originally described exclusively in the olfactory epithelium and believed to mediate the innate perception of volatile amines. However, most noncanonical olfactory receptors are still orphan receptors. Given its recently discovered nonolfactory expression and therapeutic potential, TAAR5 has been the focus of deorphanization campaigns that led to the discovery of a few druglike antagonists. Here, we report four novel TAAR5 antagonists identified through high-throughput screening, which, along with the four ligands published in the literature, constituted our starting point to design a computational strategy for the identification of TAAR5 ligands. We developed a structure-based virtual screening protocol that allowed us to identify three new TAAR5 antagonists with a hit rate of 10%. Despite lacking an experimental structure, we accurately modeled the TAAR5 binding site by integrating comparative sequence- and structure-based analyses of serotonin receptors with homology modeling and side-chain optimization. In summary, we have identified seven new TAAR5 antagonists that could serve as lead candidates for the development of new treatments for depression, anxiety, and neurodegenerative diseases.
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Affiliation(s)
- Alessandro Nicoli
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, 85354 Freising, Germany
- Chemoinformatics
and Protein Modelling, Department of Molecular Life Sciences, School
of Life Sciences, Technical University of
Munich, 85354 Freising, Germany
| | - Verena Weber
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, 85354 Freising, Germany
- Institute
for Advanced Simulations (IAS)-5/Institute for Neuroscience and Medicine
(INM)-9, Forschungszentrum Jülich, 52428 Jülich, Germany
- Faculty
of Mathematics, Computer Science and Natural Sciences, RWTH Aachen, Aachen, 52062 Germany
| | - Carlotta Bon
- Istituto
Italiano di Tecnologia, 16163 Genova, Italy
| | - Alexandra Steuer
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, 85354 Freising, Germany
- Chemoinformatics
and Protein Modelling, Department of Molecular Life Sciences, School
of Life Sciences, Technical University of
Munich, 85354 Freising, Germany
| | | | - Raul R. Gainetdinov
- Institute
of Translational Biomedicine and Saint Petersburg University Hospital,
Saint Petersburg State University, Saint Petersburg 199034, Russia
| | - Roman Lang
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, 85354 Freising, Germany
| | - Stefano Espinoza
- Istituto
Italiano di Tecnologia, 16163 Genova, Italy
- Dipartimento
di Scienze della Salute, Università
del Piemonte Orientale, 28100 Novara, Italy
| | - Antonella Di Pizio
- Leibniz
Institute for Food Systems Biology at the Technical University of
Munich, 85354 Freising, Germany
- Chemoinformatics
and Protein Modelling, Department of Molecular Life Sciences, School
of Life Sciences, Technical University of
Munich, 85354 Freising, Germany
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10
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Nunes-Alves A, Merz K. AlphaFold2 in Molecular Discovery. J Chem Inf Model 2023; 63:5947-5949. [PMID: 37807755 DOI: 10.1021/acs.jcim.3c01459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Affiliation(s)
- Ariane Nunes-Alves
- Institute of Chemistry, Technische Universität Berlin, Berlin 10623, Germany
| | - Kenneth Merz
- Department of Chemistry, Michigan State University, East Lansing 48824, Michigan, United States
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11
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Calderón JC, Ibrahim P, Gobbo D, Gervasio FL, Clark T. General Metadynamics Protocol To Simulate Activation/Deactivation of Class A GPCRs: Proof of Principle for the Serotonin Receptor. J Chem Inf Model 2023; 63:3105-3117. [PMID: 37161278 DOI: 10.1021/acs.jcim.3c00208] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
Abstract
We present a generally applicable metadynamics protocol for characterizing the activation free-energy profiles of class A G-protein coupled receptors and a proof-of-principle study for the 5HT1A-receptor. The almost universal A100 activation index, which depends on five inter-helix distances, is used as the single collective variable in well-tempered multiple-walker metadynamics simulations. Here, we show free-energy profiles for the serotonin receptor as binary (apo-receptor + G-protein-α-subunit and receptor + ligand) and ternary complexes with two prototypical orthosteric ligands: the full agonist serotonin and the partial agonist aripiprazole. Our results are not only compatible with previously reported experimental and computational data, but they also allow differences between active and inactive conformations to be determined in unprecedented atomic detail, and with respect to the so-called microswitches that have been suggested as determinants of activation, giving insight into their role in the activation mechanism.
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Affiliation(s)
- Jacqueline C Calderón
- Computer-Chemistry-Center, Department of Chemistry and Pharmacy, Friedrich-Alexander-University Erlangen-Nuernberg, Naegelsbachstr. 25, 91052 Erlangen, Germany
| | - Passainte Ibrahim
- Institute of Medical Physics and Biophysics, Faculty of Medicine, University of Leipzig, Leipzig 04107, Germany
| | - Dorothea Gobbo
- Pharmaceutical Sciences, University of Geneva, CH1206 Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, CH1206 Geneva, Switzerland
| | - Francesco Luigi Gervasio
- Pharmaceutical Sciences, University of Geneva, CH1206 Geneva, Switzerland
- Institute of Pharmaceutical Sciences of Western Switzerland, CH1206 Geneva, Switzerland
- Chemistry Department, University College London, WC1H 0AJ London, U.K
| | - Timothy Clark
- Computer-Chemistry-Center, Department of Chemistry and Pharmacy, Friedrich-Alexander-University Erlangen-Nuernberg, Naegelsbachstr. 25, 91052 Erlangen, Germany
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12
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Alfonso-Prieto M, Capelli R. Machine Learning-Based Modeling of Olfactory Receptors in Their Inactive State: Human OR51E2 as a Case Study. J Chem Inf Model 2023; 63:2911-2917. [PMID: 37145455 DOI: 10.1021/acs.jcim.3c00380] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Atomistic-level investigation of olfactory receptors (ORs) is a challenging task due to the experimental/computational difficulties in the structural determination/prediction for members of this family of G-protein coupled receptors. Here, we have developed a protocol that performs a series of molecular dynamics simulations from a set of structures predicted de novo by recent machine learning algorithms and apply it to a well-studied receptor, the human OR51E2. Our study demonstrates the need for simulations to refine and validate such models. Furthermore, we demonstrate the need for the sodium ion at a binding site near D2.50 and E3.39 to stabilize the inactive state of the receptor. Considering the conservation of these two acidic residues across human ORs, we surmise this requirement also applies to the other ∼400 members of this family. Given the almost concurrent publication of a CryoEM structure of the same receptor in the active state, we propose this protocol as an in silico complement to the growing field of ORs structure determination.
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Affiliation(s)
- Mercedes Alfonso-Prieto
- Computational Biomedicine, Institute for Advanced Simulation IAS-5/Institute for Neuroscience and Medicine INM-9, Forschungszentrum Jülich GmbH, Wilhelm-Johnen-Straße, D-52428 Jülich, Germany
| | - Riccardo Capelli
- Dipartimento di Bioscienze, Università degli Studi di Milano, Via Celoria 26, I-20133 Milan, Italy
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