6NMQ image
Entry Detail
PDB ID:
6NMQ
Keywords:
Title:
Hypoxia-Inducible Factor (HIF) Prolyl Hydroxylase 2 (PHD2) in Complex with the Carboxamide Analog JNJ43058171
Biological Source:
Source Organism:
Host Organism:
PDB Version:
Deposition Date:
2019-01-11
Release Date:
2019-04-24
Method Details:
Experimental Method:
Resolution:
1.58 Å
R-Value Free:
0.25
R-Value Work:
0.22
R-Value Observed:
0.22
Space Group:
H 3 2
Macromolecular Entities
Polymer Type:polypeptide(L)
Description:Egl nine homolog 1
Chain IDs:A
Chain Length:213
Number of Molecules:1
Biological Source:Homo sapiens
Primary Citation
Beyond Traditional Structure-Based Drug Design: The Role of Iron Complexation, Strain, and Water in the Binding of Inhibitors for Hypoxia-Inducible Factor Prolyl Hydroxylase 2.
Acs Omega 4 6703 6708 (2019)
PMID: 31179408 DOI: 10.1021/acsomega.9b00199

Abstact

A combination of structure-based drug design and medicinal chemistry efforts led us from benzimidazole-2-carboxamide with modestly active hypoxia-inducible factor prolyl hydroxylase 2 inhibition to certain benzimidazole-2-pyrazole carboxylic acids that were more potent as well as orally efficacious stimulators of erythropoietin secretion in our in vivo mouse model. To better understand the structure-activity relationship, it was necessary to account for (i) the complexation of the ligand with the active site Fe2+, (ii) the strain incurred by the ligand upon binding, and (iii) certain key water interactions identified by a crystal structure analysis. With this more complete computational model, we arrived at an overarching paradigm that accounted for the potency differences between benzimidazole-2-carboxamide and benzimidazole-2-pyrazole carboxylic acid enzyme inhibitors. Moreover, the computational paradigm allowed us to anticipate that the bioisostere replacement strategy (amide → pyrazole), which had shown success in the benzimidazole series, was not generally applicable to other series. This illustrates that to fully reconcile the important ligand-active site interactions for certain targets, one often needs to move beyond traditional structure-based drug design (such as crystallographic analysis, docking, etc.) and appeal to a higher level of computational theory.

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