Evidence map›Paper›PMID 30923216›Full record

ArticleScience (New York, N.Y.)2019

Packing of apolar side chains enables accurate design of highly stable membrane proteins.

Marco Mravic, Jessica L Thomaston, Maxwell Tucker, Paige E Solomon, Lijun Liu, William F DeGrado

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Article
  2. Article
  3. bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  9. Designability of α-Helical Protein Filaments.Sub-cellular biochemistry · 2026
    Review
  10. Article
  11. Article
  12. Article
  13. Design principles of the common Gly-X6-Gly membrane protein building block.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

15 more citing papers are in PubMed but not listed here.

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.

Marco MravicDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-6294-1824
Jessica L ThomastonDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0003-0427-6277
Maxwell TuckerDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-1606-8806
Paige E SolomonDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA.
Lijun LiuState Key Laboratory of Chemical Oncogenomics, Peking University Shenzhen Graduate School, Shenzhen 518055, China. lijunliuks@gmail.com william.degrado@ucsf.edu.ORCID 0000-0003-0514-281X
William F DeGradoDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA 94158, USA. lijunliuks@gmail.com william.degrado@ucsf.edu.ORCID 0000-0003-4745-263X

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PAUL David ADAMS, Gregory L Hura · 2017 to 2026
$28.6M
STRUCTURAL BIOLOGY TRAINING PROGRAMT32GM008284 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KORTEMME, TANJA · 1988 to 2022
$10.1M
Deciphering the relationship between structure, dynamics and function in helical bundle proteinsR35GM122603 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WILLIAM DEGRADO · 2017 to 2026
$7.1M
Eliminating Critical Systematic Errors In Structural Biology With Next-Generation SimulationR01GM124149 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HOLTON, JAMES M · 2017 to 2024
$2.5M
A Multiscale Model of Protein Mediated Changes in membrane MorphologyR01GM117593 · NIGMS · COLORADO STATE UNIVERSITY · PI ZHOU, YONGCHENG · 2015 to 2019
$1.8M
Howard Hughes Medical InstituteNIGMS NIH HHS P30 GM124169NIGMS NIH HHS R01 GM117593NIGMS NIH HHS R01 GM124149NIGMS NIH HHS R35 GM122603NIGMS NIH HHS T32 GM008284
6 · The paper itself

Abstract

The features that stabilize the structures of membrane proteins remain poorly understood. Polar interactions contribute modestly, and the hydrophobic effect contributes little to the energetics of apolar side-chain packing in membranes. Disruption of steric packing can destabilize the native folds of membrane proteins, but is packing alone sufficient to drive folding in lipids? If so, then membrane proteins stabilized by this feature should be readily designed and structurally characterized-yet this has not been achieved. Through simulation of the natural protein phospholamban and redesign of variants, we define a steric packing code underlying its assembly. Synthetic membrane proteins designed using this code and stabilized entirely by apolar side chains conform to the intended fold. Although highly stable, the steric complementarity required for their folding is surprisingly stringent. Structural informatics shows that the designed packing motif recurs across the proteome, emphasizing a prominent role for precise apolar packing in membrane protein folding, stabilization, and evolution.

Indexed as

Models, MolecularMolecular Dynamics SimulationProtein FoldingAmino Acid SequenceCalcium-Binding ProteinsHydrophobic and Hydrophilic InteractionsMembrane ProteinsPhospholambanProtein EngineeringProtein StabilityProtein Structure, SecondaryCalcium-Binding ProteinsMembrane ProteinsPhospholamban

Identifiers

PMID30923216
PMCPMC7380683

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.