Active search for computer-aided drug design

Oglic, Dino and Oatley, Steven A. and Macdonald, Simon J.F. and McInally, Thomas and Garnett, Roman and Hirst, Jonathan D. and Gärtner, Thomas (2018) Active search for computer-aided drug design. Molecular Informatics, 37 . p. 1700130. ISSN 1868-1743

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Abstract

We consider lead discovery as active search in a space of labelled graphs. In particular, we extend our recent data-driven adaptive Markov chain approach, and evaluate it on a focused drug design problem, where we search for an antagonist of an av integrin, the target protein that belongs to a group of Arg-Gly-Asp integrin receptors. This group of integrin receptors is thought to play a key role in idiopathic pulmonary fibrosis, a chronic lung disease of significant pharmaceutical interest. As an in silico proxy of the binding affinity, we use a molecular docking score to an experimentally determined avb6 protein structure. The search is driven by a probabilistic surrogate of the activity of all molecules from that space. As the process evolves and the algorithm observes the activity scores of the previously designed molecules, the hypothesis of the activity is refined. The algorithm is guaranteed to converge in probability to the best hypothesis from an a priori specified hypothesis space. In our empirical evaluations, the approach achieves a large structural variety of designed molecular structures for which the docking score is better than the desired threshold. Some novel molecules, suggested to be active by the surrogate model, provoke a significant interest from the perspective of medicinal chemistry and warrant prioritization for synthesis. Moreover, the approach discovered 19 out of the 24 active compounds which are known to be active from previous biological assays.

Item Type: Article
Additional Information: This is the peer reviewed version of the following article: Oglic, D., Oatley, S. A., Macdonald, S. J. F., Mcinally, T., Garnett, R., Hirst, J. D. and Gärtner, T. (2018), Active Search for Computer-Aided Drug Design. Mol. Inf.. doi:10.1002/minf.201700130 which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1002/minf.201700130/abstract
Keywords: active search ; antagonist ; cheminformatics ; drug design ; integrin
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Chemistry
Identification Number: /10.1002/minf.201700130
Depositing User: Smith, Ruth
Date Deposited: 02 Feb 2018 14:27
Last Modified: 24 Feb 2018 05:40
URI: http://eprints.nottingham.ac.uk/id/eprint/49505

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