Cargando…

Temperature artifacts in protein structures bias ligand-binding predictions

X-ray crystallography is the gold standard to resolve conformational ensembles that are significant for protein function, ligand discovery, and computational methods development. However, relevant conformational states may be missed at common cryogenic (cryo) data-collection temperatures but can be...

Descripción completa

Detalles Bibliográficos
Autores principales: Bradford, Shanshan Y. C., El Khoury, Léa, Ge, Yunhui, Osato, Meghan, Mobley, David L., Fischer, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447925/
https://www.ncbi.nlm.nih.gov/pubmed/34667539
http://dx.doi.org/10.1039/d1sc02751d
_version_ 1784569121570029568
author Bradford, Shanshan Y. C.
El Khoury, Léa
Ge, Yunhui
Osato, Meghan
Mobley, David L.
Fischer, Marcus
author_facet Bradford, Shanshan Y. C.
El Khoury, Léa
Ge, Yunhui
Osato, Meghan
Mobley, David L.
Fischer, Marcus
author_sort Bradford, Shanshan Y. C.
collection PubMed
description X-ray crystallography is the gold standard to resolve conformational ensembles that are significant for protein function, ligand discovery, and computational methods development. However, relevant conformational states may be missed at common cryogenic (cryo) data-collection temperatures but can be populated at room temperature. To assess the impact of temperature on making structural and computational discoveries, we systematically investigated protein conformational changes in response to temperature and ligand binding in a structural and computational workhorse, the T4 lysozyme L99A cavity. Despite decades of work on this protein, shifting to RT reveals new global and local structural changes. These include uncovering an apo helix conformation that is hidden at cryo but relevant for ligand binding, and altered side chain and ligand conformations. To evaluate the impact of temperature-induced protein and ligand changes on the utility of structural information in computation, we evaluated how temperature can mislead computational methods that employ cryo structures for validation. We find that when comparing simulated structures just to experimental cryo structures, hidden successes and failures often go unnoticed. When using structural information in ligand binding predictions, both coarse docking and rigorous binding free energy calculations are influenced by temperature effects. The trend that cryo artifacts limit the utility of structures for computation holds across five distinct protein classes. Our results suggest caution when consulting cryogenic structural data alone, as temperature artifacts can conceal errors and prevent successful computational predictions, which can mislead the development and application of computational methods in discovering bioactive molecules.
format Online
Article
Text
id pubmed-8447925
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher The Royal Society of Chemistry
record_format MEDLINE/PubMed
spelling pubmed-84479252021-10-18 Temperature artifacts in protein structures bias ligand-binding predictions Bradford, Shanshan Y. C. El Khoury, Léa Ge, Yunhui Osato, Meghan Mobley, David L. Fischer, Marcus Chem Sci Chemistry X-ray crystallography is the gold standard to resolve conformational ensembles that are significant for protein function, ligand discovery, and computational methods development. However, relevant conformational states may be missed at common cryogenic (cryo) data-collection temperatures but can be populated at room temperature. To assess the impact of temperature on making structural and computational discoveries, we systematically investigated protein conformational changes in response to temperature and ligand binding in a structural and computational workhorse, the T4 lysozyme L99A cavity. Despite decades of work on this protein, shifting to RT reveals new global and local structural changes. These include uncovering an apo helix conformation that is hidden at cryo but relevant for ligand binding, and altered side chain and ligand conformations. To evaluate the impact of temperature-induced protein and ligand changes on the utility of structural information in computation, we evaluated how temperature can mislead computational methods that employ cryo structures for validation. We find that when comparing simulated structures just to experimental cryo structures, hidden successes and failures often go unnoticed. When using structural information in ligand binding predictions, both coarse docking and rigorous binding free energy calculations are influenced by temperature effects. The trend that cryo artifacts limit the utility of structures for computation holds across five distinct protein classes. Our results suggest caution when consulting cryogenic structural data alone, as temperature artifacts can conceal errors and prevent successful computational predictions, which can mislead the development and application of computational methods in discovering bioactive molecules. The Royal Society of Chemistry 2021-07-13 /pmc/articles/PMC8447925/ /pubmed/34667539 http://dx.doi.org/10.1039/d1sc02751d Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Bradford, Shanshan Y. C.
El Khoury, Léa
Ge, Yunhui
Osato, Meghan
Mobley, David L.
Fischer, Marcus
Temperature artifacts in protein structures bias ligand-binding predictions
title Temperature artifacts in protein structures bias ligand-binding predictions
title_full Temperature artifacts in protein structures bias ligand-binding predictions
title_fullStr Temperature artifacts in protein structures bias ligand-binding predictions
title_full_unstemmed Temperature artifacts in protein structures bias ligand-binding predictions
title_short Temperature artifacts in protein structures bias ligand-binding predictions
title_sort temperature artifacts in protein structures bias ligand-binding predictions
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447925/
https://www.ncbi.nlm.nih.gov/pubmed/34667539
http://dx.doi.org/10.1039/d1sc02751d
work_keys_str_mv AT bradfordshanshanyc temperatureartifactsinproteinstructuresbiasligandbindingpredictions
AT elkhourylea temperatureartifactsinproteinstructuresbiasligandbindingpredictions
AT geyunhui temperatureartifactsinproteinstructuresbiasligandbindingpredictions
AT osatomeghan temperatureartifactsinproteinstructuresbiasligandbindingpredictions
AT mobleydavidl temperatureartifactsinproteinstructuresbiasligandbindingpredictions
AT fischermarcus temperatureartifactsinproteinstructuresbiasligandbindingpredictions