Evidence map›Paper›PMID 33730029›Full record

ArticlePLoS computational biology2021

Prediction of amphipathic helix-membrane interactions with Rosetta.

Alican Gulsevin, Jens Meiler

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Modeling membrane geometries implicitly in Rosetta.Protein science : a publication of the Protein Society · 2024
    Article
  3. Article
  4. Article
  5. Article
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

2 authors.

Alican GulsevinDepartment of Chemistry, Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0002-8724-5777
Jens MeilerDepartment of Chemistry, Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, United States of America.ORCID 0000-0001-8945-193X

Funding

Membrane Protein Structure Elucidation from sparse NMR data (KAMP)R01GM080403 · NIGMS · VANDERBILT UNIVERSITY · PI MEILER, JENS · 2007 to 2019
$3.0M
Structural basis for caveolae assembly and functionR01HL144131 · NHLBI · VANDERBILT UNIVERSITY · PI KENWORTHY, ANNE K, OHI, MELANIE DIANE · 2018 to 2021
$2.2M
NHLBI NIH HHS R01 HL144131NIGMS NIH HHS R01 GM080403
6 · The paper itself

Abstract

Amphipathic helices have hydrophobic and hydrophilic/charged residues situated on opposite faces of the helix. They can anchor peripheral membrane proteins to the membrane, be attached to integral membrane proteins, or exist as independent peptides. Despite the widespread presence of membrane-interacting amphipathic helices, there is no computational tool within Rosetta to model their interactions with membranes. In order to address this need, we developed the AmphiScan protocol with PyRosetta, which runs a grid search to find the most favorable position of an amphipathic helix with respect to the membrane. The performance of the algorithm was tested in benchmarks with the RosettaMembrane, ref2015_memb, and franklin2019 score functions on six engineered and 44 naturally-occurring amphipathic helices using membrane coordinates from the OPM and PDBTM databases, OREMPRO server, and MD simulations for comparison. The AmphiScan protocol predicted the coordinates of amphipathic helices within less than 3Å of the reference structures and identified membrane-embedded residues with a Matthews Correlation Constant (MCC) of up to 0.57. Overall, AmphiScan stands as fast, accurate, and highly-customizable protocol that can be pipelined with other Rosetta and Python applications.

Indexed as

Membrane ProteinsMolecular Dynamics SimulationProtein Conformation, alpha-HelicalAlgorithmsComputational BiologyDatabases, ProteinProtein BindingMembrane Proteins

Identifiers

PMID33730029
PMCPMC8007005

What OpenQuestion holds

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LicenceCC BY
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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.