Email updates

Keep up to date with the latest news and content from BMC Structural Biology and BioMed Central.

Open Access Highly Accessed Research article

Exploring the binding of BACE-1 inhibitors using comparative binding energy analysis (COMBINE)

Shu Liu12, Rao Fu2, Xiao Cheng2, Sheng-Ping Chen1 and Li-Hua Zhou2*

Author Affiliations

1 Guangdong Province Key Laboratory of Functional Molecules in Oceanic Microorganism, Zhong Shan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of China

2 Department of Anatomy, Zhong Shan School of Medicine, Sun Yat-Sen University, Guangzhou, 510080, People’s Republic of China

For all author emails, please log on.

BMC Structural Biology 2012, 12:21  doi:10.1186/1472-6807-12-21

Published: 27 August 2012

Abstract

Background

The inhibition of the activity of β-secretase (BACE-1) is a potentially important approach for the treatment of Alzheimer disease. To explore the mechanism of inhibition, we describe the use of 46 X-ray crystallographic BACE-1/inhibitor complexes to derive quantitative structure-activity relationship (QSAR) models. The inhibitors were aligned by superimposing 46 X-ray crystallographic BACE-1/inhibitor complexes, and gCOMBINE software was used to perform COMparative BINding Energy (COMBINE) analysis on these 46 minimized BACE-1/inhibitor complexes. The major advantage of the COMBINE analysis is that it can quantitatively extract key residues involved in binding the ligand and identify the nature of the interactions between the ligand and receptor.

Results

By considering the contributions of the protein residues to the electrostatic and van der Waals intermolecular interaction energies, two predictive and robust COMBINE models were developed: (i) the 3-PC distance-dependent dielectric constant model (built from a single X-ray crystal structure) with a q2 value of 0.74 and an SDEC value of 0.521; and (ii) the 5-PC sigmoidal electrostatic model (built from the actual complexes present in the Brookhaven Protein Data Bank) with a q2 value of 0.79 and an SDEC value of 0.41.

Conclusions

These QSAR models and the information describing the inhibition provide useful insights into the design of novel inhibitors via the optimization of the interactions between ligands and those key residues of BACE-1.

Keywords:
BACE-1 Inhibitors; Superimposition; 3D-QSAR; COMBINE