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Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites

Crystallographic fragment screening uses low molecular weight compounds to probe the protein surface and although individual protein-fragment interactions are high quality, fragments commonly bind at low occupancy, historically making identification difficult. However, our new Pan-Dataset Density An...

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Autores principales: Pearce, Nicholas M., Bradley, Anthony R., Krojer, Tobias, Marsden, Brian D., Deane, Charlotte M., von Delft, Frank
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Crystallographic Association 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336473/
https://www.ncbi.nlm.nih.gov/pubmed/28345007
http://dx.doi.org/10.1063/1.4974176
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author Pearce, Nicholas M.
Bradley, Anthony R.
Krojer, Tobias
Marsden, Brian D.
Deane, Charlotte M.
von Delft, Frank
author_facet Pearce, Nicholas M.
Bradley, Anthony R.
Krojer, Tobias
Marsden, Brian D.
Deane, Charlotte M.
von Delft, Frank
author_sort Pearce, Nicholas M.
collection PubMed
description Crystallographic fragment screening uses low molecular weight compounds to probe the protein surface and although individual protein-fragment interactions are high quality, fragments commonly bind at low occupancy, historically making identification difficult. However, our new Pan-Dataset Density Analysis method readily identifies binders missed by conventional analysis: for fragment screening data of lysine-specific demethylase 4D (KDM4D), the hit rate increased from 0.9% to 10.6%. Previously unidentified fragments reveal multiple binding sites and demonstrate: the versatility of crystallographic fragment screening; that surprisingly large conformational changes are possible in crystals; and that low crystallographic occupancy does not by itself reflect a protein-ligand complex's significance.
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spelling pubmed-53364732017-03-24 Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites Pearce, Nicholas M. Bradley, Anthony R. Krojer, Tobias Marsden, Brian D. Deane, Charlotte M. von Delft, Frank Struct Dyn Transactions from the 66th Annual Meeting of the American Crystallographic Association (Aca) Crystallographic fragment screening uses low molecular weight compounds to probe the protein surface and although individual protein-fragment interactions are high quality, fragments commonly bind at low occupancy, historically making identification difficult. However, our new Pan-Dataset Density Analysis method readily identifies binders missed by conventional analysis: for fragment screening data of lysine-specific demethylase 4D (KDM4D), the hit rate increased from 0.9% to 10.6%. Previously unidentified fragments reveal multiple binding sites and demonstrate: the versatility of crystallographic fragment screening; that surprisingly large conformational changes are possible in crystals; and that low crystallographic occupancy does not by itself reflect a protein-ligand complex's significance. American Crystallographic Association 2017-02-28 /pmc/articles/PMC5336473/ /pubmed/28345007 http://dx.doi.org/10.1063/1.4974176 Text en © 2017 Author(s). 2329-7778/2017/4(3)/032104/9 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Transactions from the 66th Annual Meeting of the American Crystallographic Association (Aca)
Pearce, Nicholas M.
Bradley, Anthony R.
Krojer, Tobias
Marsden, Brian D.
Deane, Charlotte M.
von Delft, Frank
Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites
title Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites
title_full Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites
title_fullStr Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites
title_full_unstemmed Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites
title_short Partial-occupancy binders identified by the Pan-Dataset Density Analysis method offer new chemical opportunities and reveal cryptic binding sites
title_sort partial-occupancy binders identified by the pan-dataset density analysis method offer new chemical opportunities and reveal cryptic binding sites
topic Transactions from the 66th Annual Meeting of the American Crystallographic Association (Aca)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336473/
https://www.ncbi.nlm.nih.gov/pubmed/28345007
http://dx.doi.org/10.1063/1.4974176
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