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A molecular-modeling toolbox aimed at bridging the gap between medicinal chemistry and computational sciences

Eid, Sameh and Zalewski, Adam and Smiesko, Martin and Ernst, Beat and Vedani, Angelo. (2013) A molecular-modeling toolbox aimed at bridging the gap between medicinal chemistry and computational sciences. International Journal of Molecular Sciences, 14 (1). pp. 684-700.

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Official URL: http://edoc.unibas.ch/dok/A6083580

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Abstract

In the current era of high-throughput drug discovery and development, molecular modeling has become an indispensable tool for identifying, optimizing and prioritizing small-molecule drug candidates. The required background in computational chemistry and the knowledge of how to handle the complex underlying protocols, however, might keep medicinal chemists from routinely using in silico technologies. Our objective is to encourage those researchers to exploit existing modeling technologies more frequently through easy-to-use graphical user interfaces. In this account, we present two innovative tools (which we are prepared to share with academic institutions) facilitating computational tasks commonly utilized in drug discovery and development: (1) the VirtualDesignLab estimates the binding affinity of small molecules by simulating and quantifying their binding to the three-dimensional structure of a target protein; and (2) the MD Client launches molecular dynamics simulations aimed at exploring the time-dependent stability of ligand-protein complexes and provides residue-based interaction energies. This allows medicinal chemists to identify sites of potential improvement in their candidate molecule. As a case study, we present the application of our tools towards the design of novel antagonists for the FimH adhesin.
Faculties and Departments:05 Faculty of Science > Departement Pharmazeutische Wissenschaften > Ehemalige Einheiten Pharmazie > Molecular Modeling (Vedani)
05 Faculty of Science > Departement Pharmazeutische Wissenschaften > Ehemalige Einheiten Pharmazie > Molekulare Pharmazie (Ernst)
UniBasel Contributors:Vedani, Angelo and Smiesko, Martin and Ernst, Beat
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Molecular Diversity Preservation International
ISSN:1661-6596
e-ISSN:1422-0067
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:23 Nov 2017 10:02
Deposited On:26 Apr 2013 06:59

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