Structural and functional characterization of the aryl hydrocarbon receptor ligand binding domain by homology modeling and mutational analysis (Q33815254)

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English	Structural and functional characterization of the aryl hydrocarbon receptor ligand binding domain by homology modeling and mutational analysis	scientific article

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scholarly article

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24 December 2019

Structural and functional characterization of the aryl hydrocarbon receptor ligand binding domain by homology modeling and mutational analysis (English)

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24 December 2019

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based on heuristic

inferred from title

mutational analysis

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based on heuristic

inferred from title

Alessandro Pandini

1

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24 December 2019

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Michael S Denison

2

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24 December 2019

Yujuan Song

3

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24 December 2019

Anatoly A Soshilov

4

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24 December 2019

Laura Bonati

5

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24 December 2019

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publication date

1 January 2007

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24 December 2019

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24 December 2019

46

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24 December 2019

696-708

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24 December 2019

3

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24 December 2019

All-atom empirical potential for molecular modeling and dynamics studies of proteins

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4 July 2018

The role of chaperone proteins in the aryl hydrocarbon receptor core complex

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4 July 2018

Ligand binding and activation of the Ah receptor

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The silencing mediator of retinoic acid and thyroid hormone receptors can interact with the aryl hydrocarbon (Ah) receptor but fails to repress Ah receptor-dependent gene expression

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Induction of CYP1A1. The AhR/DRE paradigm: transcription, receptor regulation, and expanding biological roles

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Protein secondary structure prediction based on position-specific scoring matrices

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Induction of cytochrome P4501A1.

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Ah receptor signaling pathways

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Analysis of the four alleles of the murine aryl hydrocarbon receptor

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The aryl hydrocarbon receptor complex

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Evidence that ligand binding is a key determinant of Ah receptor-mediated transcriptional activity.

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12 December 2020

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Mapping the 90 kDa heat shock protein binding region of the Ah receptor

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An automated approach for clustering an ensemble of NMR-derived protein structures into conformationally related subfamilies

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based on heuristic

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Identifiers

10.1021/BI061460T

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24 December 2019

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24 December 2019

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24 December 2019

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