Homology modeling and docking studies between angiotensin-convert | 20795
Journal of Proteomics & Bioinformatics

Journal of Proteomics & Bioinformatics
Open Access

ISSN: 0974-276X

Homology modeling and docking studies between angiotensin-converting enzymes (ACE) and lisinopril

2nd International Conference on Proteomics & Bioinformatics

July 2-4, 2012 Embassy Suites Las Vegas, USA

Manaswini R K

Posters: J Proteomics Bioinform

Abstract :

Angiotensin-converting enzyme (ACE) has a critical role in cardiovascular function by cleaving the carboxy terminal His- Leu dipeptide from angiotensin I to produce a potent vasopressor octapeptide, angiotensin II. Inhibitors of ACE are a first line of therapy for hypertension, heart failure, myocardial infarction and diabetic nephropathy. I created a homology model of Angiotensin-converting enzyme (ACE) and the 3-D structure as template using with ICMPro software. The ICMPro homology modeling algorithm has demonstrated excellent accuracy in blind predictions. Moreover, recent results show that ICMPro models built with as little as 35% identity can be accurate enough to be successfully used in receptor based rational drug design. The closest homologue with the highest sequence identity of 54% was selected as representative model using YASARA tools. The model was validated using protein structure checking tools such as PROCHEK for reliability. A total of two pockets were predicted by the software. Once the pockets were predicted, the ligand was subjected to docking reaction using the docking module of ICMPro software. Based on the RMSD and energy values, the best docking orientation was selected. The better RMSD value of docking is 894.354. This study will be used in broad screening of inhibitors of the protein and can be further implemented in future drug designing.