Evidence map›Paper›PMID 32224301›Full record

ArticleBiophysical journal2020

Protein Structure Prediction and Design in a Biologically Realistic Implicit Membrane.

Rebecca F Alford, Patrick J Fleming, Karen G Fleming, Jeffrey J Gray

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
4.8field-weighted citation impact, top 4% of its field
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

46 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
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  6. 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
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  18. Modeling membrane geometries implicitly in Rosetta.Protein science : a publication of the Protein Society · 2024
    Article
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  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Rebecca F AlfordDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland.
Patrick J FlemingT.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland.
Karen G FlemingT.C. Jenkins Department of Biophysics, Johns Hopkins University, Baltimore, Maryland; Program in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland.
Jeffrey J GrayDepartment of Chemical & Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland; Program in Molecular Biophysics, Johns Hopkins University, Baltimore, Maryland. Electronic address: jgray@jhu.edu.
Johns Hopkins University · US

Funding

Membrane Protein StabilityR01GM079440 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI FLEMING, KAREN G. · 2009 to 2022
$4.1M
Prediction of the Structure of Therapeutic Antibodies with their AntigensR01GM078221 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI GRAY, JEFFREY J · 2006 to 2020
$4.0M
NIGMS NIH HHS R01 GM078221NIGMS NIH HHS R01 GM079440
6 · The paper itself

Abstract

Protein design is a powerful tool for elucidating mechanisms of function and engineering new therapeutics and nanotechnologies. Although soluble protein design has advanced, membrane protein design remains challenging because of difficulties in modeling the lipid bilayer. In this work, we developed an implicit approach that captures the anisotropic structure, shape of water-filled pores, and nanoscale dimensions of membranes with different lipid compositions. The model improves performance in computational benchmarks against experimental targets, including prediction of protein orientations in the bilayer, ΔΔG calculations, native structure discrimination, and native sequence recovery. When applied to de novo protein design, this approach designs sequences with an amino acid distribution near the native amino acid distribution in membrane proteins, overcoming a critical flaw in previous membrane models that were prone to generating leucine-rich designs. Furthermore, the proteins designed in the new membrane model exhibit native-like features including interfacial aromatic side chains, hydrophobic lengths compatible with bilayer thickness, and polar pores. Our method advances high-resolution membrane protein structure prediction and design toward tackling key biological questions and engineering challenges.

Indexed as

Lipid BilayersMembrane ProteinsAmino AcidsHydrophobic and Hydrophilic InteractionsSoftwareAmino AcidsLipid BilayersMembrane Proteins

Identifiers

PMID32224301
PMCPMC7175592
OpenAlexW3011535809

What OpenQuestion holds

Textmetadata
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.