Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 211

The DOI matches its Crossref record.

Crystallizing Membrane Proteins for Structure Determination: Use of Lipidic Mesophases

Caffrey, Martin·2009·Annual Review of Biophysics

Abstract

The principal route to determine the structure and the function and interactions of membrane proteins is via macromolecular crystallography. For macromolecular crystallography to be successful, structure-quality crystals of the target protein must be forthcoming, and crystallogenesis represents a major challenge. Several techniques are employed to crystallize membrane proteins, and the bulk of these techniques make direct use of solubilized protein-surfactant complexes by the more traditional, so-called in surfo methods. An alternative in meso approach, which employs a bicontinuous lipidic mesophase, has emerged as a method with considerable promise in part because it involves reconstitution of the solubilized protein back into a stabilizing and organizing lipid bilayer reservoir as a prelude to crystallogenesis. A hypothesis for how the method works at the molecular level and experimental evidence in support of the proposal are reviewed here. The latest advances, successes, and challenges associated with the method are described.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1146/annurev.biophys.050708.133655

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 211

Metadata

Authors
Caffrey, M.
Venue
Annual Review of Biophysics
Published
2009-06-01
Volume
38
Issue
1
Pages
29-51
ISSN
  • 1936-122X (ISSN-L)
  • 1936-1238
OpenAlex
W2036862423
Cited by
211
References
0
FWCI
1.19
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Crystallizing Membrane Proteins for Structure Determination: Use of Lipidic Mesophases. https://app.cochat.ai/papers/10.1146/annurev.biophys.050708.133655
The paper
Caffrey, M. (2009). Crystallizing Membrane Proteins for Structure Determination: Use of Lipidic Mesophases. Annual Review of Biophysics. https://doi.org/10.1146/annurev.biophys.050708.133655

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.