Evidence map›Paper›PMID 28340354›Full record

ArticleCell2017

Mechanism of Substrate Translocation in an Alternating Access Transporter.

Naomi R Latorraca, Nathan M Fastman, A J Venkatakrishnan, Wolf B Frommer, Ron O Dror, Liang Feng

Abstract read
In one paragraph

Article in Cell, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing 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

63 citing papers in PubMed.

  1. Article
  2. Review
  3. Miniprotein inhibitors of thebioRxiv : the preprint server for biology · 2026
    Article
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  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Journal of chemical theory and computation · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

3 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.

Naomi R LatorracaBiophysics Program, Stanford University, Stanford, CA 94305, USA; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA.
Nathan M FastmanBiophysics Program, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: nfastman@stanford.edu.
A J VenkatakrishnanDepartment of Computer Science, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA.
Wolf B FrommerCarnegie Institution for Science, Department of Plant Biology, Stanford, CA 94305, USA.
Ron O DrorBiophysics Program, Stanford University, Stanford, CA 94305, USA; Department of Computer Science, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA; Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA 94305, USA. Electronic address: ron.dror@stanford.edu.
Liang FengBiophysics Program, Stanford University, Stanford, CA 94305, USA; Department of Molecular and Cellular Physiology, Stanford University School of Medicine, Stanford, CA 94305, USA. Electronic address: liangf@stanford.edu.

Funding

Molecular Biophysics Training Program at StanfordT32GM008294 · NIGMS · STANFORD UNIVERSITY · PI HUANG, KERWYN C. · 1989 to 2019
$7.4M
Molecular Mechanism and Novel Therapeutic Strategy in Alzheimer's DiseaseDP2AG052940 · NIA · STANFORD UNIVERSITY · PI FENG, LIANG · 2015 to 2018
$2.6M
Structure and Function of SWEET Sugar TransportersR01GM117108 · NIGMS · STANFORD UNIVERSITY · PI FENG, LIANG · 2016 to 2023
$2.6M
NIA NIH HHS DP2 AG052940NIGMS NIH HHS R01 GM117108NIGMS NIH HHS T32 GM008294
6 · The paper itself

Abstract

Transporters shuttle molecules across cell membranes by alternating among distinct conformational states. Fundamental questions remain about how transporters transition between states and how such structural rearrangements regulate substrate translocation. Here, we capture the translocation process by crystallography and unguided molecular dynamics simulations, providing an atomic-level description of alternating access transport. Simulations of a SWEET-family transporter initiated from an outward-open, glucose-bound structure reported here spontaneously adopt occluded and inward-open conformations. Strikingly, these conformations match crystal structures, including our inward-open structure. Mutagenesis experiments further validate simulation predictions. Our results reveal that state transitions are driven by favorable interactions formed upon closure of extracellular and intracellular "gates" and by an unfavorable transmembrane helix configuration when both gates are closed. This mechanism leads to tight allosteric coupling between gates, preventing them from opening simultaneously. Interestingly, the substrate appears to take a "free ride" across the membrane without causing major structural rearrangements in the transporter.

Indexed as

BacteriaBacterial ProteinsCrystallography, X-RayMembrane Transport ProteinsModels, MolecularMolecular Dynamics SimulationProtein ConformationBacterial ProteinsMembrane Transport Proteinsmembrane proteinmolecular dynamics (MD) simulationSemiSWEETstructuresugar transportertransporter

Identifiers

PMID28340354
PMCPMC5557413

What OpenQuestion holds

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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.