Evidence map›Paper›PMID 28978444›Full record

ArticleBiophysical journal2017

Coupling X-Ray Reflectivity and In Silico Binding to Yield Dynamics of Membrane Recognition by Tim1.

Gregory T Tietjen, Javier L Baylon, Daniel Kerr, Zhiliang Gong, J Michael Henderson, Charles T R Heffern, Mati Meron, Binhua Lin, Mark L Schlossman, Erin J Adams and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

  1. CaThe journal of physical chemistry. B · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A network of phosphatidylinositol 4,5-bisphosphate binding sites regulates gating of the CaProceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  8. Review
  9. Review
  10. Microscopic view of lipids and their diverse biological functions.Current opinion in structural biology · 2018
    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

12 authors at 3 institutions in 1 country.

Gregory T TietjenProgram in Biophysical Sciences, Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois.
Javier L BaylonCenter for Biophysics and Quantitative Biology and Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois.
Daniel KerrProgram in Biophysical Sciences, Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois.
Zhiliang GongDepartment of Chemistry, The University of Chicago, Chicago, Illinois.
J Michael HendersonDepartment of Chemistry, The University of Chicago, Chicago, Illinois.
Charles T R HeffernDepartment of Chemistry, The University of Chicago, Chicago, Illinois.
Mati MeronCenter for Advanced Radiation Sources, The University of Chicago, Chicago, Illinois.
Binhua LinCenter for Advanced Radiation Sources, The University of Chicago, Chicago, Illinois; James Franck Institute, The University of Chicago, Chicago, Illinois.
Mark L SchlossmanDepartment of Physics, University of Illinois at Chicago, Chicago, Illinois.
Erin J AdamsProgram in Biophysical Sciences, Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois; Department of Biochemistry and Molecular Biology and Committee on Immunology, The University of Chicago, Chicago, Illinois.
Emad TajkhorshidCenter for Biophysics and Quantitative Biology and Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois; College of Medicine and Department of Biochemistry, University of Illinois Urbana-Champaign, Urbana, Illinois. Electronic address: emad@life.illinois.edu.
Ka Yee C LeeProgram in Biophysical Sciences, Institute for Biophysical Dynamics, The University of Chicago, Chicago, Illinois; Department of Chemistry, The University of Chicago, Chicago, Illinois; James Franck Institute, The University of Chicago, Chicago, Illinois. Electronic address: kayeelee@uchicago.edu.
University of Chicago · USUniversity of Illinois Urbana-Champaign · USUniversity of Illinois Chicago · US

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI ZHOU, MING · 2010 to 2017
$31.9M
Molecular And Cellular Biology Training ProgramT32GM007183 · NIGMS · UNIVERSITY OF CHICAGO · PI GLICK, BENJAMIN S, RICE, PHOEBE A · 1985 to 2021
$23.9M
WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
Graduate Program in Biophysical Sciences at the University of Chicago - Renewal 0T32EB009412 · NIBIB · UNIVERSITY OF CHICAGO · PI ENGEL, GREGORY S, SOSNICK, TOBIN R · 2009 to 2023
$4.9M
Molecular Recognition of Ligand by the Gamma Delta T Cell ReceptorR01AI073922 · NIAID · UNIVERSITY OF CHICAGO · PI ADAMS, ERIN JUNE · 2007 to 2016
$3.8M
Beagle-2S10OD018495 · OD · UNIVERSITY OF CHICAGO · PI FOSTER, IAN · 2014 to 2014
$2.0M
Understanding the role of phospholipids in integrin signalingR01GM101048 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SLIGAR, STEPHEN G. · 2012 to 2015
$1.1M
NIAID NIH HHS R01 AI073922NIBIB NIH HHS T32 EB009412NIGMS NIH HHS P41 GM104601NIGMS NIH HHS R01 GM101048NIGMS NIH HHS T32 GM007183NIGMS NIH HHS U54 GM087519NIH HHS S10 OD018495
6 · The paper itself

Abstract

The dynamic nature of lipid membranes presents significant challenges with respect to understanding the molecular basis of protein/membrane interactions. Consequently, there is relatively little known about the structural mechanisms by which membrane-binding proteins might distinguish subtle variations in lipid membrane composition and/or structure. We have previously developed a multidisciplinary approach that combines molecular dynamics simulation with interfacial x-ray scattering experiments to produce an atomistic model for phosphatidylserine recognition by the immune receptor Tim4. However, this approach requires a previously determined protein crystal structure in a membrane-bound conformation. Tim1, a Tim4 homolog with distinct differences in both immunological function and sensitivity to membrane composition, was crystalized in a closed-loop conformation that is unlikely to support membrane binding. Here we have used a previously described highly mobile membrane mimetic membrane in combination with a conventional lipid bilayer model to generate a membrane-bound configuration of Tim1 in silico. This refined structure provided a significantly improved fit of experimental x-ray reflectivity data. Moreover, the coupling of the x-ray reflectivity analysis with both highly mobile membrane mimetic membranes and conventional lipid bilayer molecular dynamics simulations yielded a dynamic model of phosphatidylserine membrane recognition by Tim1 with atomic-level detail. In addition to providing, to our knowledge, new insights into the molecular mechanisms that distinguish the various Tim receptors, these results demonstrate that in silico membrane-binding simulations can remove the requirement that the existing crystal structure be in the membrane-bound conformation for effective x-ray reflectivity analysis. Consequently, this refined methodology has the potential for much broader applicability with respect to defining the atomistic details of membrane-binding proteins.

Indexed as

AnimalsBinding SitesCell LineHepatitis A Virus Cellular Receptor 1LepidopteraLipid BilayersMiceMolecular Dynamics SimulationPhosphatidylserinesProtein BindingRecombinant ProteinsX-Ray DiffractionHavcr1 protein, mouseHepatitis A Virus Cellular Receptor 1Lipid BilayersPhosphatidylserinesRecombinant Proteins

Identifiers

PMID28978444
PMCPMC5627149
OpenAlexW2762176608

What OpenQuestion holds

Textmetadata
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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.