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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Crystallographic Association
2017
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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. |
format | Online Article Text |
id | pubmed-5336473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | American Crystallographic Association |
record_format | MEDLINE/PubMed |
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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