Abstract
Biophysical screening of compound libraries for the identification of ligands that interact with a protein is efficient, but does typically not reveal if (or how) ligands may interfere with its functional properties. For this a biochemical/functional assay is required. But for proteins whose function is dependent on a conformational change, such assays are typically complex or have low throughput. Here we have explored a high-throughput second-harmonic generation (SHG) biosensor to detect fragments that induce conformational changes upon binding to a protein in real time and identify dynamic regions. Multiwell plate format SHG assays were developed for wild-type and six engineered single-cysteine mutants of acetyl choline binding protein (AChBP), a homologue to ligand gated ion channels (LGICs). They were conjugated with second harmonic-active labelsviaamine or maleimide coupling. To validate the assay, it was confirmed that the conformational changes induced in AChBP by nicotinic acetyl choline receptor (nAChR) agonists and antagonists were qualitatively different. A 1056 fragment library was subsequently screened against all variants and conformational modulators of AChBP were successfully identified, with hit rates from 9-22%, depending on the AChBP variant. A subset of four hits was selected for orthogonal validation and structural analysis. A time-resolved grating-coupled interferometry-based biosensor assay confirmed the interaction to be a reversible 1-step 1 : 1 interaction, and provided estimates of affinities and interaction kinetic rate constants (KD= 0.28-63 μM,ka= 0.1-6 μM−1s−1,kd=1 s−1). X-ray crystallography of two of the fragments confirmed their binding at a previously described conformationally dynamic site, corresponding to the regulatory site of LGICs. These results reveal that SHG has the sensitivity to identify fragments that induce conformational changes in a protein. A selection of fragment hits with a response profile different to known LGIC regulators was characterized and confirmed to bind to dynamic regions of the protein.
| Original language | English |
|---|---|
| Pages (from-to) | 7527-7537 |
| Number of pages | 11 |
| Journal | RSC Advances |
| Volume | 11 |
| Issue number | 13 |
| DOIs | |
| Publication status | Published - 17 Feb 2021 |
Bibliographical note
Funding Information:The authors wish to acknowledge support from Eldar Abdur-akhmanov, SciLifeLab Drug Discovery and Development Platform, and library access from the Chemical Biology Consortium Sweden (CBCS). To members of the Danielson Lab for helpful discussions. The authors wish to acknowledge Hannah Klein and Peter O'Brien at the University of York and David J Hamilton and Maikel Wijtmans at the VU Amsterdam for additional compounds. To Prof. Chris Ulens, Laboratory of Structural Neurobiology, KU Leuven for AChBP expression plasmids. This project has received funding from the European Union's Framework Programme for Research and Innovation Horizon 2020 (2014–2020) under the Marie-Skoldowska-Curie grant agreement number ID 675899 Fragment based drug discovery Network (FRAGNET).
Publisher Copyright:
© The Royal Society of Chemistry 2021.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
Funding
The authors wish to acknowledge support from Eldar Abdur-akhmanov, SciLifeLab Drug Discovery and Development Platform, and library access from the Chemical Biology Consortium Sweden (CBCS). To members of the Danielson Lab for helpful discussions. The authors wish to acknowledge Hannah Klein and Peter O'Brien at the University of York and David J Hamilton and Maikel Wijtmans at the VU Amsterdam for additional compounds. To Prof. Chris Ulens, Laboratory of Structural Neurobiology, KU Leuven for AChBP expression plasmids. This project has received funding from the European Union's Framework Programme for Research and Innovation Horizon 2020 (2014–2020) under the Marie-Skoldowska-Curie grant agreement number ID 675899 Fragment based drug discovery Network (FRAGNET).
| Funders | Funder number |
|---|---|
| European Union's Framework Programme for Research and Innovation Horizon 2020 | |
| SciLifeLab Drug Discovery and Development Platform | |
| Horizon 2020 Framework Programme | 675899 |
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