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Quantitative deciphering of mammalian histamine receptors through mathematical genomics
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Abstract
Histamine receptors (HRH1-HRH4) are G-protein coupled receptors (GPCRs) that mediate essential physiological functions, including neurotransmission, gastric acid secretion, immune regulation, and presynaptic autoregulation. Despite their importance, systematic comparative analyses across mammalian histamine receptor sequences remain scarce. In this study, we performed a comprehensive evaluation of HRH1-HRH4 across multiple mammalian species, integrating sequence homology, invariant residue mapping, amino acid substitutions, compositional frequencies, Shannon entropy, polystring distributions, intrinsic disorder profiling, and phylogenetic clustering. HRH2 and HRH1 were highly conserved among primates, HRH3 showed strong cohesion within rodents, while HRH4 exhibited pronounced divergence consistent with immune-related specialization. Invariant residues localized to transmembrane helices and activation motifs (D107, W428/Y431, NPxxY), underscoring strict evolutionary constraints on ligand binding, receptor stability, and G-protein coupling. Substitutions were confined to non-essential lipid-facing and loop regions, predominantly conservative in nature, enabling diversification without disrupting the GPCR fold. Amino acid frequency and entropy analyses revealed hydrophobic dominance with subtype-specific enrichment of polar residues, while disorder profiling identified HRH1 as the most dynamic and HRH2 as the most structurally constrained. Polystring analysis highlighted conserved motifs (WWW, PP) alongside subtype- and species-specific repeats, reflecting evolutionary strategies balancing receptor stability with adaptive flexibility. Phylogenetic clustering confirmed subtype-specific cohesion, with HRH3 and HRH4 forming compact clades, HRH1 showing moderate dispersion, and HRH2 forming the most isolated cluster. The central focus of this study lies in the characterization of both structural features and evolutionary trajectories of histamine receptors, providing a unified perspective on their conservation and diversification. Collectively, these findings demonstrate that mammalian histamine receptor evolution is governed by conserved biophysical cores and selective variability, offering insights into structural conservation, functional diversification, and translational relevance for drug design and model selection.
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Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
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Research works printed but not linked: 62
- Lewis, 1924, Vascular reactions of the skin to injury, Heart, 11
- Shore, 1959, A method for the fluorometric assay of histamine in tissues, J. Pharmacol. Exp. Ther., 127, 182, 10.1016/S0022-3565(25)25681-6 · DOI
- Panula, 2013, The histaminergic network in the brain: basic organization and role in disease, Nature Rev. Neurosci., 14, 472, 10.1038/nrn3526 · DOI
- Smolinska, 2022, Histamine: a mediator of intestinal disorders—a review, Metabolites, 12, 895, 10.3390/metabo12100895 · DOI
- Oda, 2000, Molecular cloning and characterization of a novel type of histamine receptor preferentially expressed in leukocytes, J. Biol. Chem., 275, 36781, 10.1074/jbc.M006480200 · DOI
- Akdis, 2006, Histamine receptors are hot in immunopharmacology, Eur. J. Pharmacol., 533, 69, 10.1016/j.ejphar.2005.12.044 · DOI
- Parsons, 2006, Histamine and its receptors, Br. J. Pharmacol., 147, S127, 10.1038/sj.bjp.0706440 · DOI
- Panula, 1984, Histamine-containing neurons in the rat hypothalamus, Proc. Natl. Acad. Sci., 81, 2572, 10.1073/pnas.81.8.2572 · DOI
- Alexander, 2017, The concise guide to pharmacology 2017/18: G protein-coupled receptors, Br. J. Pharmacol., 174, S17
- Lieberman, 2011, The basics of histamine biology, Ann. Allergy Asthma Immunol., 106, S2, 10.1016/j.anai.2010.08.005 · DOI
- Druey, 2009, Regulation of G-protein-coupled signaling pathways in allergic inflammation, Immunol. Res., 43, 62, 10.1007/s12026-008-8050-0 · DOI
- Hu, 2017, Visualizing the GPCR network: classification and evolution, Sci. Rep., 7, 15495, 10.1038/s41598-017-15707-9 · DOI
- Tuteja, 2009, Signaling through G protein coupled receptors, Plant Signal. Behav., 4, 942, 10.4161/psb.4.10.9530 · DOI
- Marinissen, 2001, G-protein-coupled receptors and signaling networks: emerging paradigms, Trends Pharmacol. Sci., 22, 368, 10.1016/S0165-6147(00)01678-3 · DOI · Paper page
- Gutkind, 1998, The pathways connecting G protein-coupled receptors to the nucleus through divergent mitogen-activated protein kinase cascades, J. Biol. Chem., 273, 1839, 10.1074/jbc.273.4.1839 · DOI · Paper page
- Bakker, 2002, Histamine receptors: Specific ligands, receptor biochemistry, and signal transduction, Histamine H1-Antihistamines Allerg. Dis., 43
- Leurs, 2005, The histamine H3 receptor: from gene cloning to H3 receptor drugs, Nat. Rev. Drug Discov., 4, 107, 10.1038/nrd1631 · DOI
- De Esch, 2005, The histamine H4 receptor as a new therapeutic target for inflammation, Trends Pharmacol. Sci., 26, 462
- Liu, 2001, Comparison of human, mouse, rat, and guinea pig histamine H4 receptors reveals substantial pharmacological species variation, J. Pharmacol. Exp. Ther., 299, 121, 10.1016/S0022-3565(24)29309-5 · DOI
- Oda, 2002, cDNA cloning and characterization of porcine histamine H4 receptor, Biochim. et Biophys. Acta (BBA)-Gene Struct. Expr., 1575, 135, 10.1016/S0167-4781(02)00236-1 · DOI
- Oda, 2005, Molecular cloning of monkey histamine H4 receptor, J. Pharmacol. Sci., 98, 319, 10.1254/jphs.SC0050033 · DOI
- Ravhe, 2021, Evolutionary history of histamine receptors: early vertebrate origin and expansion of the H3-H4 subtypes, Mol. Phylogenet. Evol., 154, 10.1016/j.ympev.2020.106989 · DOI
- Zampeli, 2009, The role of histamine H4 receptor in immune and inflammatory disorders, Br. J. Pharmacol., 157, 24, 10.1111/j.1476-5381.2009.00151.x · DOI
- Thurmond, 2015, The histamine H4 receptor: from orphan to the clinic, Front. Pharmacol., 6, 65, 10.3389/fphar.2015.00065 · DOI
- 2025, UniProt: the universal protein knowledgebase in 2025, Nucleic Acids Res., 53, D609, 10.1093/nar/gkae1010 · DOI · Paper page
- Ahmad, 2025, The UniProt website API: facilitating programmatic access to protein knowledge, Nucleic Acids Res., gkaf394
- Sievers, 2011, Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega, Mol. Syst. Biology, 7, 539, 10.1038/msb.2011.75 · DOI
- Sievers, 2014, Clustal Omega, Curr. Protoc. Bioinform., 48, 3, 10.1002/0471250953.bi0313s48 · DOI
- Sievers, 2018, Clustal Omega for making accurate alignments of many protein sequences, Prot. Sci., 27, 135, 10.1002/pro.3290 · DOI · Paper page
- Schneider, 2002, A genetic algorithm for the identification of conformationally invariant regions in protein molecules, Biological Crystallogr., 58, 195, 10.1107/S0907444901019291 · DOI
- Smith, 1966, The amino acid composition of proteins, J. Theoret. Biol., 13, 261, 10.1016/0022-5193(66)90021-X · DOI
- Yampolsky, 2005, The exchangeability of amino acids in proteins, Genetics, 170, 1459, 10.1534/genetics.104.039107 · DOI
- Hassan, 2025, Methuselah proteins in drosophila: Structural and evolutionary insights from mathematical genomics, Biochem. Biophys. Res. Commun., 10.1016/j.bbrc.2025.152240 · DOI
- Reeck, 1973, A statistical analysis of the amino acid compositions of proteins, Int. J. Pept. Protein Res., 5, 109, 10.1111/j.1399-3011.1973.tb02325.x · DOI
- Strait, 1996, The Shannon information entropy of protein sequences, Biophys. J., 71, 148, 10.1016/S0006-3495(96)79210-X · DOI
- Nekrasov, 2002, Entropy of protein sequences: an integral approach, J. Biomol. Struct. Dyn., 20, 87, 10.1080/07391102.2002.10506825 · DOI
- Yano, 1974, Entropy increase of amino acid sequence in protein, J. Mol. Evol., 4, 179, 10.1007/BF01732022 · DOI
- Johansson, 2010, Relative von neumann entropy for evaluating amino acid conservation, J. Bioinform. Comput. Biology, 8, 809, 10.1142/S021972001000494X · DOI
- Nawn, 2024, Unveiling the genetic tapestry: Rare disease genomics of spinal muscular atrophy and phenylketonuria proteins, Int. J. Biiol. Macromol., 269
- Nawn, 2025, Molecular genomic insights into melanoma associated proteins PRAME and BAP1, J. Biomol. Struct. Dyn., 1
- Dayhoff, 2022, Rapid prediction and analysis of protein intrinsic disorder, Prot. Sci., 31, 10.1002/pro.4496 · DOI
- Dayhoff, 2023, Rapid prediction and analysis of protein intrinsic disorder, Biophys. J., 122, 61a, 10.1016/j.bpj.2022.11.536 · DOI
- Uversky, 2024, On the roles of protein intrinsic disorder in the origin of life and evolution, Life, 14, 1307, 10.3390/life14101307 · DOI
- Venati, 2024, Exploring intrinsic disorder in human synucleins and associated proteins, Int. J. Mol. Sci., 25, 8399, 10.3390/ijms25158399 · DOI
- Sganzerla Martinez, 2024, Multiple protein profiler 1.0 (MPP): a webserver for predicting and visualizing physiochemical properties of proteins at the proteome level, Protein J., 43, 711, 10.1007/s10930-024-10214-z · DOI
- Sil, 2025, Genomic perspective on sociosexual behavior: Quantitative analysis of receptor sequences in vertebrates, Next Res., 2, 10.1016/j.nexres.2025.100247 · DOI
- Nawn, 2025, Proximal relationships of moonlighting proteins in escherichia coli: A mathematical genomics perspective, Int. J. Biiol. Macromol., 308
- Katritch, 2013, Structure-function of the g protein–coupled receptor superfamily, Annu. Rev. Pharmacol. Toxicol., 53, 531, 10.1146/annurev-pharmtox-032112-135923 · DOI
- Venkatakrishnan, 2013, Molecular signatures of G-protein-coupled receptors, Nature, 494, 185, 10.1038/nature11896 · DOI
- Shimamura, 2011, Structure of the human histamine H1 receptor complex with doxepin, Nature, 475, 65, 10.1038/nature10236 · DOI
- Ohta, 1994, Site-directed mutagenesis of the histamine H1 receptor: roles of aspartic acid107, asparagine198 and threonine194, Biochem. Biophys. Res. Commun., 203, 1096, 10.1006/bbrc.1994.2295 · DOI
- Zhang, 2024, G protein-coupled receptors (GPCRs): advances in structures, mechanisms and drug discovery, Signal Transduct. Target. Ther., 9, 88, 10.1038/s41392-024-01803-6 · DOI
- Rasmussen, 2011, Structure of a nanobody-stabilized active state of the β2 adrenoceptor, Nature, 469, 175, 10.1038/nature09648 · DOI
- Xia, 2021, Cryo-EM structure of the human histamine H1 receptor/Gq complex, Nat. Commun., 12, 2086, 10.1038/s41467-021-22427-2 · DOI
- Fonin, 2019, Multi-functionality of proteins involved in GPCR and g protein signaling: making sense of structure–function continuum with intrinsic disorder-based proteoforms, Cell. Mol. Life Sci., 76, 4461, 10.1007/s00018-019-03276-1 · DOI · Paper page
- Rosenbaum, 2009, The structure and function of G-protein-coupled receptors, Nature, 459, 356, 10.1038/nature08144 · DOI · Paper page
- Spielman, 2013, Membrane environment imposes unique selection pressures on transmembrane domains of G protein-coupled receptors, J. Mol. Evol., 76, 172, 10.1007/s00239-012-9538-8 · DOI
- Matsuzaki, 2025, Structural insights into ligand recognition and G protein preferences across histamine receptors, Commun. Biology, 8, 957, 10.1038/s42003-025-08363-7 · DOI
- Uversky, 2013, Intrinsic disorder-based protein interactions and their modulators, Curr. Pharm. Des., 19, 4191, 10.2174/1381612811319230005 · DOI
- Wright, 2015, Intrinsically disordered proteins in cellular signalling and regulation, Nature Rev. Mol. Cell Biol., 16, 18, 10.1038/nrm3920 · DOI
- Chothia, 1986, The relation between the divergence of sequence and structure in proteins., EMBO J., 5, 823, 10.1002/j.1460-2075.1986.tb04288.x · DOI · Paper page
- Strasser, 2013, Species-dependent activities of G-protein-coupled receptor ligands: lessons from histamine receptor orthologs, Trends Pharmacol. Sci., 34, 13, 10.1016/j.tips.2012.10.004 · DOI
Metadata
- Authors
- Hassan, S. S., Nawn, D., Goswami, P., Mukherjee, N., Sil, M., Roy, S., Goswami, A., Das, S., & Uversky, V. N.
- Affiliations
- Adamas University (IN)
- Jangipur College (IN)
- Indian Statistical Institute (IN)
- Peerless Hospital & B.K.Roy Research Centre (IN)
- University of South Florida (US)
- Corresponding author
- Uversky, Vladimir N.
- ORCID
- Venue
- Biochemical and Biophysical Research Communications
- Publisher
- Elsevier BV
- Published
- 2026-06
- Volume
- 817
- Pages
- 153717
- ISSN
- 0006-291X (ISSN-L)
- OpenAlex
- W7149623792
- Cited by
- 0
- References
- 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- Biochemical and Biophysical Research Communications (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Receptor Mechanisms and Signaling
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Keywords
- histamine receptors, G protein-coupled receptors, sequence conservation, invariant residues, amino acid substitutions, intrinsic disorder, phylogenetic clustering, Shannon entropy
- MeSH terms
- Receptors, Histamine H4, Amino Acid Sequence, Animals, Humans, Mammals, Phylogeny, Receptors, Histamine, Evolution, Molecular, Genomics, Receptors, G-Protein-Coupled
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