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POSTER PRESENTATION Open Access

Guiding protein-ligand docking with different experimental NMR-data

Tim ten Brink

1*

, Ionut Onila

1

, Adam Mazur

2

, Oliver Korb

1

, Heiko M Möller

1

, Christian Griesinger

2

, Teresa Carlomagno

3

, Thomas E Exner

1,4

From

7th German Conference on Chemoinformatics: 25 CIC-Workshop Goslar, Germany. 6-8 November 2011

Today’s scoring functions are one of the main reasons that state-of-the-art protein-ligand dockings fail in about 20 % to 40 % of the targets due to the sometimes severe approximations they make. However these approxima- tions are necessary for performance reasons. One possi- bility to overcome these problems is the inclusion of additional, preferably experimental information in the docking process. Especially ligand-based NMR experi- ments that are far less demanding than the solution of the whole complex structure are helpful.

Here we present the inclusion of three different types of NMR-data into the ChemPLP [1] scoring function of our docking tool PLANTS [2]. First, STD and intra- ligand trNOE spectra were used to obtain distant con- straints between ligand and protein atoms. This approach proved beneficial for the docking of larger peptide ligands i. e. the epitope of MUC-1 glycoprotein to the SM3 antibody [3].

In the second part the usefulness of INPHARMA data [4,5] is shown by combinig a score, evaluating the agree- ment between simulated and measured INPHARMA spectra, with the PLANTS ChemPLP scoring function.

First results from rescoring after local optimization of the poses and full docking experiments are shown.

Author details

1Department of Chemistry, University Konstanz, 78457 Konstanz, Germany.

2Department of NMR-Based Structural Biology, MPIbpc, 37077 Göttingen, Germany.3Structural and Computational Biology Unit, EMBL, 69117 Heidelberg, Germany.4Zukunftskolleg, University Konstanz, 78457 Konstanz, Germany.

Published: 1 May 2012

References

1. Korb O, Stützle T, Exner TE:J Chem Inf Model2009,49:84-96.

2. Korb O, Stützle T, Exner TE:Swarm Intell2007,1:115-134.

3. Korb O, Möller HM, Exner TE:ChemMedChem2010,5:1001-1006.

4. Orts J, Tuma J, Reese M, Grimm SK, Monecke P, Bartoschek S, Schier A, Wendt KU, Griesinger C, Carlomagno T:Angew Chem Int Ed2008, 47:7736-7740.

5. Sanchez-Pedregal VM, Reese M, Meiler J, Blommers MJJ, Griesinger C, Carlomagno T:Angew Chem Int Ed2005,44:4172-4175.

doi:10.1186/1758-2946-4-S1-P39

Cite this article as:ten Brinket al.:Guiding protein-ligand docking with different experimental NMR-data.Journal of Cheminformatics20124 (Suppl 1):P39.

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* Correspondence: tim.tenbrink@uni-konstanz.de

1Department of Chemistry, University Konstanz, 78457 Konstanz, Germany Full list of author information is available at the end of the article ten Brinket al.Journal of Cheminformatics2012,4(Suppl 1):P39 http://www.jcheminf.com/content/4/S1/P39

© 2012 ten Brink et al; licensee 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.

Erschienen in: Journal of Cheminformatics ; 4 (2012), l. - P39

Konstanzer Online-Publikations-System (KOPS) URL: http://nbn-resolving.de/urn:nbn:de:bsz:352-236798

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