Volume 4 Supplement 1

7th German Conference on Chemoinformatics: 25 CIC-Workshop

Open Access

Guiding protein-ligand docking with different experimental NMR-data

  • Tim ten Brink1Email author,
  • Ionut Onila1,
  • Adam Mazur2,
  • Oliver Korb1,
  • Heiko M Möller1,
  • Christian Griesinger2,
  • Teresa Carlomagno3 and
  • Thomas E Exner1, 4
Journal of Cheminformatics20124(Suppl 1):P39


Published: 1 May 2012

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 approximations are necessary for performance reasons. One possibility to overcome these problems is the inclusion of additional, preferably experimental information in the docking process. Especially ligand-based NMR experiments 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 constraints 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 agreement 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.

Authors’ Affiliations

Department of Chemistry, University Konstanz, Konstanz, Germany
Department of NMR-Based Structural Biology, MPIbpc, Göttingen, Germany
Structural and Computational Biology Unit, EMBL, Heidelberg, Germany
Zukunftskolleg, University Konstanz, Konstanz, Germany


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© ten Brink et al; licensee BioMed Central Ltd. 2012

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.