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Development of CoMFA models of affinity and selectivity to angiotensin II type-1 and type-2 receptors
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Organic Pharmaceutical Chemistry.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Medicinal Chemistry, Organic Pharmaceutical Chemistry.
2007 (English)In: Journal of Molecular Graphics and Modelling, ISSN 1093-3263, E-ISSN 1873-4243, Vol. 26, no 1, 145-153 p.Article in journal (Refereed) Published
Abstract [en]

The renin-angiotensin system (RAS) is of major importance in cardiovascular and renal regulation and has been an attractive target in drug discovery for a long time. The main receptors involved in the RAS are the Angiotensin type-1 (AT1) and type-2 (AT2) receptors, which are both activated by the endogenous octapeptide angiotensin II (AngII). This study describes the development of 3D-QSAR models for AT1 and AT2 receptor affinity and AT1/AT2 receptor selectivity using CoMFA. A data set of 244 compounds, based on the triazolinone and quinazolinone structural classes was compiled from the literature. Before CoMFA could be performed, an alignment rule for the two structural classes was defined using the pharmacophore-searching program DISCOtech. Models were validated using a test set obtained by dividing the data set into a training set and test set using hierarchical clustering, based on the CoMFA fields, AT1-, AT2-receptor affinities, and AT1/AT2 selectivity values. Predictive models with good statistics could be developed both for AT1 and AT2 receptor affinity as well as selectivity towards these receptors.

Place, publisher, year, edition, pages
2007. Vol. 26, no 1, 145-153 p.
Keyword [en]
Angiotensin, AT1, AT2, Selectivity, CoMFA, 3D-QSAR, DISCOtech, Training set selection
National Category
Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:uu:diva-95772DOI: 10.1016/j.jmgm.2006.10.004ISI: 000248646500014PubMedID: 17161636OAI: oai:DiVA.org:uu-95772DiVA: diva2:170108
Available from: 2007-04-17 Created: 2007-04-17 Last updated: 2017-12-14Bibliographically approved
In thesis
1. Computational Modeling of the AT2 Receptor and AT2 Receptor Ligands: Investigating Ligand Binding, Structure–Activity Relationships, and Receptor-Bound Models
Open this publication in new window or tab >>Computational Modeling of the AT2 Receptor and AT2 Receptor Ligands: Investigating Ligand Binding, Structure–Activity Relationships, and Receptor-Bound Models
2007 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Rational conversion of biologically active peptides to nonpeptide compounds with retained activity is an appealing approach in drug development. One important objective of the work presented in this thesis was to use computational modeling to aid in such a conversion of the peptide angiotensin II (Ang II, Asp-Arg-Val-Tyr-Ile-His-Pro-Phe). An equally important objective was to gain an understanding of the requirements for ligand binding to the Ang II receptors, with a focus on interactions with the AT2 receptor.

The bioactive conformation of a peptide can provide important guidance in peptidomimetic design. By designing and introducing well-defined secondary structure mimetics into Ang II the bioactive conformation can be addressed. In this work, both γ- and β-turn mimetic scaffolds have been designed and characterized for incorporation into Ang II. Using conformational analysis and the pharmacophore recognition method DISCO, a model was derived of the binding mode of the pseudopeptide Ang II analogues. This model indicated that the positioning of the Arg side chain was important for AT2 receptor binding, which was also supported when the structure–activity relationship of Ang II was investigated by performing a glycine scan.

To further examine ligand binding, a 3D model of the AT2 receptor was constructed employing homology modeling. Using this receptor model in a docking study of the ligands, binding modes were identified that were in agreement with data from point-mutation studies of the AT2 receptor.

By investigating truncated Ang II analogues, small pseudopeptides were developed that were structurally similar to nonpeptide AT2 receptor ligands. For further guidance in ligand design of nonpeptide compounds, three-dimensional quantitative structure–activity relationship models for AT1 and AT2 receptor affinity as well as selectivity were derived.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2007. 78 p.
Series
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Pharmacy, ISSN 1651-6192 ; 54
Keyword
Pharmaceutical chemistry, Angiotensin II, AT1, AT2, SAR, bioactive conformation, turn mimetic, peptidomimetic, DISCO, homology model, 3D-QSAR, CoMFA, Farmaceutisk kemi
National Category
Medical and Health Sciences
Identifiers
urn:nbn:se:uu:diva-7823 (URN)978-91-554-6867-5 (ISBN)
Public defence
2007-05-11, B41, BMC, Husargatan 3, Uppsala, 13:15
Opponent
Supervisors
Available from: 2007-04-17 Created: 2007-04-17 Last updated: 2012-05-16Bibliographically approved

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Sköld, ChristianKarlén, Anders

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