Evidence map›Paper›PMID 28328943›Full record

ArticlePLoS computational biology2017

Structurally detailed coarse-grained model for Sec-facilitated co-translational protein translocation and membrane integration.

Michiel J M Niesen, Connie Y Wang, Reid C Van Lehn, Thomas F Miller

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

4 authors.

Michiel J M NiesenDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, United States of America.ORCID 0000-0002-9255-6203
Connie Y WangDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, United States of America.ORCID 0000-0003-2971-3971
Reid C Van LehnDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, United States of America.ORCID 0000-0003-4885-6599
Thomas F MillerDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California, United States of America.

Funding

Predicting Integral Membrane Protein Expression from Multiscale Simulation Model of Translocon-Mediated Membrane IntegrationF32GM113334 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI VAN LEHN, REID · 2015 to 2016
$72k
NIGMS NIH HHS F32 GM113334
6 · The paper itself

Abstract

We present a coarse-grained simulation model that is capable of simulating the minute-timescale dynamics of protein translocation and membrane integration via the Sec translocon, while retaining sufficient chemical and structural detail to capture many of the sequence-specific interactions that drive these processes. The model includes accurate geometric representations of the ribosome and Sec translocon, obtained directly from experimental structures, and interactions parameterized from nearly 200 μs of residue-based coarse-grained molecular dynamics simulations. A protocol for mapping amino-acid sequences to coarse-grained beads enables the direct simulation of trajectories for the co-translational insertion of arbitrary polypeptide sequences into the Sec translocon. The model reproduces experimentally observed features of membrane protein integration, including the efficiency with which polypeptide domains integrate into the membrane, the variation in integration efficiency upon single amino-acid mutations, and the orientation of transmembrane domains. The central advantage of the model is that it connects sequence-level protein features to biological observables and timescales, enabling direct simulation for the mechanistic analysis of co-translational integration and for the engineering of membrane proteins with enhanced membrane integration efficiency.

Indexed as

Molecular Dynamics SimulationBinding SitesCell MembraneLipid BilayersModels, ChemicalMotionProtein BindingProtein ConformationProtein FoldingProtein Translocation SystemsProtein TransportRibosomesSEC Translocation ChannelsLipid BilayersProtein Translocation SystemsSEC Translocation Channels

Identifiers

PMID28328943
PMCPMC5381951

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Registered trials

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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.