Evidence map›Paper›PMID 34667539›Full record

ArticleChemical science2021

Temperature artifacts in protein structures bias ligand-binding predictions.

Shanshan Y C Bradford, Léa El Khoury, Yunhui Ge, Meghan Osato, David L Mobley, Marcus Fischer

Abstract read
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Article
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  5. Some Like It Hot -Structural Changes in Extremophile Rubredoxin at 120 °C.Angewandte Chemie (International ed. in English) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Shanshan Y C BradfordDepartment of Chemical Biology & Therapeutics, St. Jude Children's Research Hospital Memphis TN 38105 USA marcus.fischer@stjude.org.ORCID https://orcid.org/0000-0002-5639-549X
Léa El KhouryDepartment of Pharmaceutical Sciences, University of California Irvine CA 92697 USA.ORCID https://orcid.org/0000-0003-3157-9425
Yunhui GeDepartment of Pharmaceutical Sciences, University of California Irvine CA 92697 USA.ORCID https://orcid.org/0000-0002-3946-1440
Meghan OsatoDepartment of Pharmaceutical Sciences, University of California Irvine CA 92697 USA.ORCID https://orcid.org/0000-0002-2732-457X
David L MobleyDepartment of Pharmaceutical Sciences, University of California Irvine CA 92697 USA.ORCID https://orcid.org/0000-0002-1083-5533
Marcus FischerDepartment of Chemical Biology & Therapeutics, St. Jude Children's Research Hospital Memphis TN 38105 USA marcus.fischer@stjude.org.ORCID https://orcid.org/0000-0002-7179-2581

Funding

Computational alchemy for molecular design and optimizationR01GM108889 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2014 to 2022
$2.5M
Advancing predictive physical modeling through focused development of model systems to drive new modeling innovationsR01GM124270 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2018 to 2021
$1.5M
NIGMS NIH HHS R01 GM108889NIGMS NIH HHS R01 GM124270
6 · The paper itself

Abstract

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.

Identifiers

PMID34667539
PMCPMC8447925

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.