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6EZF image
Deposition Date 2017-11-15
Release Date 2018-04-04
Last Version Date 2024-05-08
Entry Detail
PDB ID:
6EZF
Keywords:
Title:
PDE2 in complex with molecule 5
Biological Source:
Source Organism(s):
Homo sapiens (Taxon ID: 9606)
Method Details:
Experimental Method:
Resolution:
1.50 Å
R-Value Free:
0.19
R-Value Work:
0.15
R-Value Observed:
0.15
Space Group:
P 21 21 21
Macromolecular Entities
Structures with similar UniProt ID
Protein Blast
Polymer Type:polypeptide(L)
Molecule:cGMP-dependent 3',5'-cyclic phosphodiesterase
Gene (Uniprot):PDE2A
Chain IDs:A
Chain Length:353
Number of Molecules:1
Biological Source:Homo sapiens
Primary Citation
Predicting Binding Free Energies of PDE2 Inhibitors. The Difficulties of Protein Conformation.
Sci Rep 8 4883 4883 (2018)
PMID: 29559702 DOI: 10.1038/s41598-018-23039-5

Abstact

A congeneric series of 21 phosphodiesterase 2 (PDE2) inhibitors are reported. Crystal structures show how the molecules can occupy a 'top-pocket' of the active site. Molecules with small substituents do not enter the pocket, a critical leucine (Leu770) is closed and water molecules are present. Large substituents enter the pocket, opening the Leu770 conformation and displacing the waters. We also report an X-ray structure revealing a new conformation of the PDE2 active site domain. The relative binding affinities of these compounds were studied with free energy perturbation (FEP) methods and it represents an attractive real-world test case. In general, the calculations could predict the energy of small-to-small, or large-to-large molecule perturbations. However, accurately capturing the transition from small-to-large proved challenging. Only when using alternative protein conformations did results improve. The new X-ray structure, along with a modelled dimer, conferred stability to the catalytic domain during the FEP molecular dynamics (MD) simulations, increasing the convergence and thereby improving the prediction of ΔΔG of binding for some small-to-large transitions. In summary, we found the most significant improvement in results when using different protein structures, and this data set is useful for future free energy validation studies.

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