Cited by 45Computational Drug Discovery MethodsToxic Organic Pollutants ImpactPharmacogenetics and Drug Metabolism

Ligand Binding and Functional Selectivity of l-Tryptophan Metabolites at the Mouse Aryl Hydrocarbon Receptor (mAhR)

Nuti, Roberto, Gargaro, Marco, Matino, Davide, Dolciami, Daniela, Grohmann, Ursula, Puccetti, Paolo, Fallarino, Francesca, Macchiarulo, Antonio·2014·Journal of Chemical Information and Modeling

Abstract

The aryl hydrocarbon receptor (AhR) is a nuclear receptor regulating a wide range of biological and toxicological effects. Metabolites of L-tryptophan are able to bind and activate AhR, providing a link between tryptophan catabolism and a novel mechanism of protective tolerance, referred to as "disease tolerance". The notion that pharmacologic modulation of genes associated with endotoxin tolerance would be beneficial in clinical settings dominated by acute hyperinflammatory responses to infection thrusts AhR into the limelight as an interesting druggable target. Combining homology modeling, docking studies, and molecular dynamic simulations with mutagenesis experiments and gene profiling, in this work we report that 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and two different L-tryptophan metabolites, namely L-Kynurenine and FICZ (6-formylindolo[3,2-b]carbazole), are able to bind to mAhR, exploiting different key interactions with distinct set of fingerprint residues. As a result, they stabilize different conformations of mAhR that, in turn, selectively regulate downstream signaling and transcription of specific target genes. Collectively, these results open new avenues for the design and development of selective AhR modulators that, by targeting specific receptor conformations associated with specific AhR functions, may offer novel therapeutic opportunities in infectious diseases and other morbidity that may be associated with the receptor.

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Crossref · 10.1021/ci5005459

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  • Employment of PAS-B structures of HIF-2α in complex with ligands as templates greatly improved the quality of the modeled binding site, and inclusion of receptor flexibility in docking enabled better description of the binding event.

    “Not only did the employment of PAS-B structures of the homologous HIF-2α protein in complex with ligands as templates for modeling greatly improve the quality of the modeled binding site, but the inclusion of a certain degree of receptor flexibility in docking calculations enabled us and other investigators to better describe the binding event19,24–26.”

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Authors
Nuti, R., Gargaro, M., Matino, D., Dolciami, D., Grohmann, U., Puccetti, P., Fallarino, F., & Macchiarulo, A.
Affiliations
University of Perugia (IT)
Corresponding author
Macchiarulo, Antonio
Venue
Journal of Chemical Information and Modeling
Published
2014-11-21
Volume
54
Issue
12
Pages
3373-3383
ISSN
  • 1549-9596 (ISSN-L)
  • 1549-960X
OpenAlex
W2054076776
Cited by
45
References
55
Citations by year
2025: 2 · 2024: 4 · 2023: 5 · 2022: 1 · 2021: 6 · 2020: 2 · 2019: 8 · 2018: 3 · 2017: 6 · 2016: 7 · 2015: 1
FWCI
4.83
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Chemical Information and Modeling (publishedVersion)
  • PubMed (publishedVersion)
Funders
Associazione Italiana per la Ricerca sul Cancro
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
Keywords
aryl hydrocarbon receptor, kynurenine, FICZ, 2,3,7,8-tetrachlorodibenzo-p-dioxin, ligand binding, functional selectivity, disease tolerance, endotoxin tolerance, receptor conformation, transcriptional regulation, infectious diseases
MeSH terms
Polychlorinated Dibenzodioxins, Animals, Carbazoles, Kynurenine, Ligands, Protein Binding, Substrate Specificity, Tryptophan, Mutagenesis, Protein Structure, Tertiary, Receptors, Aryl Hydrocarbon, Mice, Basic Helix-Loop-Helix Proteins, Basic Helix-Loop-Helix Transcription Factors, Molecular Dynamics Simulation, Transcriptome, Molecular Docking Simulation

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