Evidence map›Paper›PMID 31422822›Full record

ArticleBiophysical journal2019

Temperature-Dependent Interactions Explain Normal and Inverted Solubility in a γD-Crystallin Mutant.

Amir R Khan, Susan James, Michelle K Quinn, Irem Altan, Patrick Charbonneau, Jennifer J McManus

Abstract read
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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.

Amir R KhanSchool of Biochemistry and Immunology, Trinity College Dublin, Dublin, Ireland.
Susan JamesDepartment of Chemistry, Maynooth University, Maynooth, Ireland.
Michelle K QuinnDepartment of Chemistry, Maynooth University, Maynooth, Ireland.
Irem AltanDepartment of Chemistry, Duke University, Durham, North Carolina.
Patrick CharbonneauDepartment of Chemistry, Duke University, Durham, North Carolina.
Jennifer J McManusDepartment of Chemistry, Maynooth University, Maynooth, Ireland. Electronic address: jennifer.mcmanus@mu.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein crystal production is a major bottleneck in the structural characterization of proteins. To advance beyond large-scale screening, rational strategies for protein crystallization are crucial. Understanding how chemical anisotropy (or patchiness) of the protein surface, due to the variety of amino-acid side chains in contact with solvent, contributes to protein-protein contact formation in the crystal lattice is a major obstacle to predicting and optimizing crystallization. The relative scarcity of sophisticated theoretical models that include sufficient detail to link collective behavior, captured in protein phase diagrams, and molecular-level details, determined from high-resolution structural information, is a further barrier. Here, we present two crystal structures for the P23T + R36S mutant of γD-crystallin, each with opposite solubility behavior: one melts when heated, the other when cooled. When combined with the protein phase diagram and a tailored patchy particle model, we show that a single temperature-dependent interaction is sufficient to stabilize the inverted solubility crystal. This contact, at the P23T substitution site, relates to a genetic cataract and reveals at a molecular level the origin of the lowered and retrograde solubility of the protein. Our results show that the approach employed here may present a productive strategy for the rationalization of protein crystallization.

Indexed as

Temperaturegamma-CrystallinsHumansModels, MolecularMutant ProteinsSolubilitygamma-CrystallinsMutant Proteins

Identifiers

PMID31422822
PMCPMC6731388

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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.