Volume 6 Supplement 1

9th German Conference on Chemoinformatics, GCC2013

Open Access

Fragment docking supported by NMR shift perturbations

Journal of Cheminformatics20146(Suppl 1):P18

https://doi.org/10.1186/1758-2946-6-S1-P18

Published: 11 March 2014

Fragment-based approaches have become popular tool in drug design due to their ability to screen large portions of chemical space with comparatively small libraries. However fragments can exhibit unspecific binding and even if they bind to a specific binding site in some cases more than one binding mode is observed [1]. For computational approaches like molecular docking fragments pose also new challenges. Score differences between different binding modes generated by docking are often small, making the identification of the correct, natural binding mode difficult.

The sensitivity of a nuclei's NMR chemical shift to changes in its chemical environment can be used to measure chemical shift perturbations (CSP) of protein atoms upon ligand binding. Especially 1H and 15N CSP are easily obtainable from 15N HSQC spectra and can be used as probe for ligand orientation but also include information about conformational changes on the protein side. CSP data has been used to orientated drug like molecules into protein binding sites [2, 3] and can be included into the scoring function to improve docking [4].

Here we show how CSP can be used to quickly validate docking poses of smaller fragments by filtering them for their agreement between experimental CSP and simulated CSP for the docked poses. Additionally a more detailed analysis of the differences between the experimental and the simulated CSP profiles can be used to highlight protein regions and even single residues which undergo structural changes upon fragment binding.

Authors’ Affiliations

(1)
Institute des Sciences Analytiques – CNRS UMR5280, Universite Claude Bernard - Lyon 1

References

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Copyright

© Brink et al; licensee Chemistry Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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