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Validated ligand mapping of ACE active site.

Daniel J Kuster¹, Garland R Marshall

¹Center for Computational Biology, Washington University, 700 S. Euclid Ave, St. Louis, MO 63110, USA.

Journal of Computer-Aided Molecular Design

|November 25, 2005

Summary

A validated active site model accurately predicts how angiotensin-converting enzyme (ACE) inhibitors bind. This computational method can guide drug design when experimental structures are unavailable.

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Area of Science:

Biochemistry
Structural Biology
Computational Chemistry

Background:

Angiotensin-converting enzyme (ACE) plays a crucial role in blood pressure regulation.
Understanding ACE active site interactions is key for developing effective antihypertensive drugs.
Previous computational models for ACE active site binding require experimental validation.

Purpose of the Study:

To test the accuracy of a long-standing computational model for the ACE active site.
To validate the model using experimentally determined crystal structures of ACE complexed with inhibitors.
To assess the reliability of the model for predicting inhibitor binding conformations.

Main Methods:

Recreation of a previously developed ACE active site model using published data and commercial software.
Comparison of predicted inhibitor-bound conformations with experimentally determined crystal structures (lisinopril, captopril, enalapril).
Calculation of root mean square deviation (RMSD) values to quantify structural differences.

Main Results:

The model accurately predicted the bound conformations of three ACE inhibitors, with RMSD values ranging from 0.43 to 0.81 Å.
The constrained conformational search methodology successfully deduced the geometry of bound ligands.
The validation confirmed the model's ability to map inhibitor binding at the ACE active site.

Conclusions:

The computational model for the ACE active site is validated by experimental data.
The constrained conformational search methodology is reliable for predicting inhibitor binding.
This approach can be confidently applied to design inhibitors for ACE when experimental structures are lacking.

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