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Increased slow dynamics defines ligandability of BTB domains
Efficient determination of protein ligandability, or the propensity to bind small-molecules, would greatly facilitate drug development for novel targets. Ligandability is currently assessed using computational methods that typically consider the static structural properties of putative binding sites...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668832/ https://www.ncbi.nlm.nih.gov/pubmed/36384931 http://dx.doi.org/10.1038/s41467-022-34599-6 |
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author | Kharchenko, Vladlena Linhares, Brian M. Borregard, Megan Czaban, Iwona Grembecka, Jolanta Jaremko, Mariusz Cierpicki, Tomasz Jaremko, Łukasz |
author_facet | Kharchenko, Vladlena Linhares, Brian M. Borregard, Megan Czaban, Iwona Grembecka, Jolanta Jaremko, Mariusz Cierpicki, Tomasz Jaremko, Łukasz |
author_sort | Kharchenko, Vladlena |
collection | PubMed |
description | Efficient determination of protein ligandability, or the propensity to bind small-molecules, would greatly facilitate drug development for novel targets. Ligandability is currently assessed using computational methods that typically consider the static structural properties of putative binding sites or by experimental fragment screening. Here, we evaluate ligandability of conserved BTB domains from the cancer-relevant proteins LRF, KAISO, and MIZ1. Using fragment screening, we discover that MIZ1 binds multiple ligands. However, no ligands are uncovered for the structurally related KAISO or LRF. To understand the principles governing ligand-binding by BTB domains, we perform comprehensive NMR-based dynamics studies and find that only the MIZ1 BTB domain exhibits backbone µs-ms time scale motions. Interestingly, residues with elevated dynamics correspond to the binding site of fragment hits and recently defined HUWE1 interaction site. Our data argue that examining protein dynamics using NMR can contribute to identification of cryptic binding sites, and may support prediction of the ligandability of novel challenging targets. |
format | Online Article Text |
id | pubmed-9668832 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-96688322022-11-18 Increased slow dynamics defines ligandability of BTB domains Kharchenko, Vladlena Linhares, Brian M. Borregard, Megan Czaban, Iwona Grembecka, Jolanta Jaremko, Mariusz Cierpicki, Tomasz Jaremko, Łukasz Nat Commun Article Efficient determination of protein ligandability, or the propensity to bind small-molecules, would greatly facilitate drug development for novel targets. Ligandability is currently assessed using computational methods that typically consider the static structural properties of putative binding sites or by experimental fragment screening. Here, we evaluate ligandability of conserved BTB domains from the cancer-relevant proteins LRF, KAISO, and MIZ1. Using fragment screening, we discover that MIZ1 binds multiple ligands. However, no ligands are uncovered for the structurally related KAISO or LRF. To understand the principles governing ligand-binding by BTB domains, we perform comprehensive NMR-based dynamics studies and find that only the MIZ1 BTB domain exhibits backbone µs-ms time scale motions. Interestingly, residues with elevated dynamics correspond to the binding site of fragment hits and recently defined HUWE1 interaction site. Our data argue that examining protein dynamics using NMR can contribute to identification of cryptic binding sites, and may support prediction of the ligandability of novel challenging targets. Nature Publishing Group UK 2022-11-16 /pmc/articles/PMC9668832/ /pubmed/36384931 http://dx.doi.org/10.1038/s41467-022-34599-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Kharchenko, Vladlena Linhares, Brian M. Borregard, Megan Czaban, Iwona Grembecka, Jolanta Jaremko, Mariusz Cierpicki, Tomasz Jaremko, Łukasz Increased slow dynamics defines ligandability of BTB domains |
title | Increased slow dynamics defines ligandability of BTB domains |
title_full | Increased slow dynamics defines ligandability of BTB domains |
title_fullStr | Increased slow dynamics defines ligandability of BTB domains |
title_full_unstemmed | Increased slow dynamics defines ligandability of BTB domains |
title_short | Increased slow dynamics defines ligandability of BTB domains |
title_sort | increased slow dynamics defines ligandability of btb domains |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9668832/ https://www.ncbi.nlm.nih.gov/pubmed/36384931 http://dx.doi.org/10.1038/s41467-022-34599-6 |
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