Evidence map›Paper›PMID 27497175›Full record

ReviewMethods in enzymology2016

Microscopic Characterization of Membrane Transporter Function by In Silico Modeling and Simulation.

J V Vermaas, N Trebesch, C G Mayne, S Thangapandian, M Shekhar, P Mahinthichaichan, J L Baylon, T Jiang, Y Wang, M P Muller and 4 more

Abstract readReview
In one paragraph

Review in Methods in enzymology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Cytosolic KJournal of chemical theory and computation · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Advances and Challenges in Rational Drug Design for SLCs.Trends in pharmacological sciences · 2019
    Review
  7. Review
  8. 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

14 authors.

J V VermaasCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
N TrebeschCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
C G MayneUniversity of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
S ThangapandianUniversity of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
M ShekharCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
P MahinthichaichanUniversity of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
J L BaylonCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
T JiangCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Y WangCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
M P MullerCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
E ShinnCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
Z ZhaoCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
P-C WenUniversity of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States.
E TajkhorshidCenter for Biophysics and Quantitative Biology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; University of Illinois at Urbana-Champaign, Urbana, IL, United States; Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States; College of Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, United States. Electronic address: emad@life.illinois.edu.

Funding

Synthetic Antigen Binder CoreU54GM087519 · NIGMS · UNIVERSITY OF CHICAGO · PI ROUX, BENOIT · 2010 to 2017
$31.9M
WHOLE CELL SIMULATIONP41GM104601 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2012 to 2021
$19.0M
Molecular Mechanisms of Active Transport Across Cellular MembranesR01GM086749 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI TAJKHORSHID, EMAD · 2009 to 2013
$1.5M
Understanding the role of phospholipids in integrin signalingR01GM101048 · NIGMS · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SLIGAR, STEPHEN G. · 2012 to 2015
$1.1M
NIGMS NIH HHS P41 GM104601NIGMS NIH HHS R01 GM086749NIGMS NIH HHS R01 GM101048NIGMS NIH HHS U54 GM087519
6 · The paper itself

Abstract

Membrane transporters mediate one of the most fundamental processes in biology. They are the main gatekeepers controlling active traffic of materials in a highly selective and regulated manner between different cellular compartments demarcated by biological membranes. At the heart of the mechanism of membrane transporters lie protein conformational changes of diverse forms and magnitudes, which closely mediate critical aspects of the transport process, most importantly the coordinated motions of remotely located gating elements and their tight coupling to chemical processes such as binding, unbinding and translocation of transported substrate and cotransported ions, ATP binding and hydrolysis, and other molecular events fueling uphill transport of the cargo. An increasing number of functional studies have established the active participation of lipids and other components of biological membranes in the function of transporters and other membrane proteins, often acting as major signaling and regulating elements. Understanding the mechanistic details of these molecular processes require methods that offer high spatial and temporal resolutions. Computational modeling and simulations technologies empowered by advanced sampling and free energy calculations have reached a sufficiently mature state to become an indispensable component of mechanistic studies of membrane transporters in their natural environment of the membrane. In this article, we provide an overview of a number of major computational protocols and techniques commonly used in membrane transporter modeling and simulation studies. The article also includes practical hints on effective use of these methods, critical perspectives on their strengths and weak points, and examples of their successful applications to membrane transporters, selected from the research performed in our own laboratory.

Indexed as

Molecular Dynamics SimulationATP Binding Cassette Transporter, Subfamily B, Member 1Binding SitesBiological TransportCell MembraneEscherichia coliHumansLipid BilayersMembrane Transport ProteinsMolecular Docking SimulationProtein BindingProtein ConformationStatic ElectricitySubstrate SpecificityThermodynamicsATP Binding Cassette Transporter, Subfamily B, Member 1GlpT protein, E coliLipid BilayersMembrane Transport ProteinsActive transportBiological systems modelingConformational changeFree energy calculationsLipid bilayersMembrane transporterMolecular dynamics

Identifiers

PMID27497175
PMCPMC6404235

What OpenQuestion holds

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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.