Evidence map›Paper›PMID 30202038›Full record

ArticleNature communications2018

PoreDesigner for tuning solute selectivity in a robust and highly permeable outer membrane pore.

Ratul Chowdhury, Tingwei Ren, Manish Shankla, Karl Decker, Matthew Grisewood, Jeevan Prabhakar, Carol Baker, John H Golbeck, Aleksei Aksimentiev, Manish Kumar and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 70 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Enzyme structure correlates with variant effect predictability.Computational and structural biotechnology journal · 2024
    Article
  6. Article
  7. An Aquaporin Gene (Bioengineering (Basel, Switzerland) · 2023
    Article
  8. Review
  9. Article
  10. Membrane Protein Engineering with Rosetta.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. A heuristic derived from analysis of the ion channel structural proteome permits the rapid identification of hydrophobic gates.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  18. Article
  19. Review
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

11 authors at 2 institutions in 1 country.

Ratul ChowdhuryDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.ORCID http://orcid.org/0000-0003-4522-6911
Tingwei RenDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Manish ShanklaDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Karl DeckerDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Matthew GrisewoodDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Jeevan PrabhakarDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA.
Carol BakerDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA.
John H GolbeckDepartment of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA.
Aleksei AksimentievDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0002-6042-8442
Manish KumarDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. manish.kumar@psu.edu.
Costas D MaranasDepartment of Chemical Engineering, The Pennsylvania State University, University Park, PA, 16802, USA. costas@psu.edu.ORCID http://orcid.org/0000-0002-1508-1398
Pennsylvania State University · USUniversity of Illinois Urbana-Champaign · US

Funding

National Science Foundation (NSF) CBET-1552571National Science Foundation (NSF) DMR- 1709522National Science Foundation (NSF) MCB-1359634
6 · The paper itself

Abstract

Monodispersed angstrom-size pores embedded in a suitable matrix are promising for highly selective membrane-based separations. They can provide substantial energy savings in water treatment and small molecule bioseparations. Such pores present as membrane proteins (chiefly aquaporin-based) are commonplace in biological membranes but difficult to implement in synthetic industrial membranes and have modest selectivity without tunable selectivity. Here we present PoreDesigner, a design workflow to redesign the robust beta-barrel Outer Membrane Protein F as a scaffold to access three specific pore designs that exclude solutes larger than sucrose (>360 Da), glucose (>180 Da), and salt (>58 Da) respectively. PoreDesigner also enables us to design any specified pore size (spanning 3-10 Å), engineer its pore profile, and chemistry. These redesigned pores may be ideal for conducting sub-nm aqueous separations with permeabilities exceeding those of classical biological water channels, aquaporins, by more than an order of magnitude at over 10 billion water molecules per channel per second.

Indexed as

Aquaporin 1AquaporinsCell MembraneEscherichia coliMembrane ProteinsModels, BiologicalMolecular Dynamics SimulationMutationOsmosisPermeabilityPorinsProtein EngineeringSodium ChlorideSolutionsThermodynamicsWaterAquaporin 1AquaporinsMembrane ProteinsOmpF proteinPorinsSodium ChlorideSolutionsWater

Identifiers

PMID30202038
PMCPMC6131167
OpenAlexW2890075759

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.