Identification of the Ah-Receptor Structural Determinants for Ligand Preferences

TitleIdentification of the Ah-Receptor Structural Determinants for Ligand Preferences
Publication TypeJournal Article
Year of Publication2012
AuthorsXing, YN, Nukaya, M, Satyshur, KA, Jiang, L, Stanevich, V, Korkmaz, EN, Burdette, L, Kennedy, GD, Cui, Q, Bradfield, CA
JournalToxicological Sciences
Volume129
Pagination86-97
Date PublishedSep
Type of ArticleArticle
ISBN Number1096-6080
Accession NumberWOS:000308234000001
Keywordsan wk, 1994, journal of biological chemistry, v269, p26464, ang cy, 1993, pharmacogenetics, v3, p312, aryl-hydrocarbon receptor, binding domain, cardiovascular-diseases, complex, core, dibenzo-p-dioxins, dioxin, Ah receptor, structural modeling, structural determinants, ligand preferences, ligand tolerance, dioxin-like compounds, land a, 1976, journal of biological chemistry, v251, p4936, land a, 1994, molecular pharmacology, v46, p915, localization, nuclear translocator, protein, recognition
Abstract

The aryl hydrocarbon receptor (AHR) is a transcription factor that responds to diverse ligands and plays a critical role in toxicology, immune function, and cardiovascular physiology. The structural basis of the AHR for ligand promiscuity and preferences is critical for understanding AHR function. Based on the structure of a closely related protein HIF2, we modeled the AHR ligand binding domain (LBD) bound to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and benzo(a)pyrene (BaP) and identified residues that control ligand preferences by shape and H-bond potential. Mutations to these residues, particularly Q377 and G298, resulted in robust and opposite changes in the potency of TCDD and BaP and up to a 20-fold change in the ratio of TCDD/BaP efficacy. The model also revealed a flexible belt structure; molecular dynamic (MD) simulation suggested that the belt and several other structural elements in the AHR-LBD are more flexible than HIF2 and likely contribute to ligand promiscuity. Molecular docking of TCDD congeners to a model of human AHR-LBD ranks their binding affinity similar to experimental ranking of their toxicity. Our study reveals key structural basis for prediction of toxicity and understanding the AHR signaling through diverse ligands.

Short TitleToxicol. Sci.