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ParLig:: Paramagnetic Ligand Tagging to Identify Protein Binding Sites
Uppsala University, Disciplinary Domain of Science and Technology, Chemistry, Department of Chemistry - BMC, Organic Chemistry.ORCID iD: 0000-0003-0359-5970
2017 (English)Conference paper, Oral presentation with published abstract (Refereed)
Abstract [en]

ParLig: Paramagnetic Ligand Tagging to  Identify Protein Binding Sites

Ulrika Brath,1 Shashikala I. Swamy,1 Alberte X. Veiga,1 Ching-Chieh Tung,2 Filip Van Petegem,2 Mate Erdelyi1*

Department of Chemistry & Molecular Biology and the Swedish NMR Centre, University of Gothenburg,Sweden

Department of Biochemistry & Molecular Biology, University of British Columbia, Vancouver, Canada  

Abstract: Identification of the binding site and binding mode of low affinity ligands, such as screening hits, is essential for the development of pharmaceutical leads using rational drug design strategies. We introduce ParLig, a paramagnetic ligand tagging approach that enables localization of protein – ligand binding clefts by detection and analysis of intermolecular protein NMR pseudocontact shifts, invoked by the covalent attachment of a paramagnetic lanthanoid chelating tag to the ligand of interest. Its scope is demonstrated by identification of the low mM volatile anesthetic interaction site of calmodulin. The technique provides an efficient route to rapid screening of protein – ligand systems, and to the identification of the binding site and mode of low affinity complexes.

References: 

1. Brath, U., Swami, S.I., Veiga, A.X., Tung, C.-C., Van Petegem, F., Erdelyi, M., J. Am. Chem Soc. 137, 11391-11398 (2015) .

Place, publisher, year, edition, pages
2017.
National Category
Organic Chemistry
Identifiers
URN: urn:nbn:se:uu:diva-372085OAI: oai:DiVA.org:uu-372085DiVA, id: diva2:1275334
Conference
The 58th Experimental Nuclear Magnetic Resonance Conference, Asilomar, California, USA, 26-31 March, 2017
Available from: 2019-01-05 Created: 2019-01-05 Last updated: 2019-09-30Bibliographically approved

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https://bioexcel.eu/events/enc-2017/

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Erdélyi, Máté

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CiteExportLink to record
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