Evidence map›Paper›PMID 28966016›Full record

ArticleStructure (London, England : 1993)2017

Enhancing Structure Prediction and Design of Soluble and Membrane Proteins with Explicit Solvent-Protein Interactions.

Jason K Lai, Joaquin Ambia, Yumeng Wang, Patrick Barth

Open access · bronzeAbstract read
In one paragraph

Article in Structure (London, England : 1993), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. De novo metalloprotein design.Nature reviews. Chemistry · 2022
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Reprogramming G protein coupled receptor structure and function.Current opinion in structural biology · 2018
    Review
  15. 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

4 authors at 1 institution in 1 country.

Jason K LaiDepartment of Pharmacology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
Joaquin AmbiaDepartment of Pharmacology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
Yumeng WangStructural and Computational Biology and Molecular Biophysics Graduate Program, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA.
Patrick BarthDepartment of Pharmacology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; Verna and Marrs McLean Department of Biochemistry and Molecular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; Structural and Computational Biology and Molecular Biophysics Graduate Program, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. Electronic address: patrick.barth@epfl.ch.
Baylor College of Medicine · US

Funding

EXPLORING STRUCTURE AND SEQUENCE SPACES OF G PROTEIN-COUPLED RECEPTOR SIGNALINGR01GM097207 · NIGMS · BAYLOR COLLEGE OF MEDICINE · PI BARTH, PATRICK DANIEL, WENSEL, THEODORE G · 2012 to 2020
$2.8M
NIGMS NIH HHS R01 GM097207
6 · The paper itself

Abstract

Solvent molecules interact intimately with proteins and can profoundly regulate their structure and function. However, accurately and efficiently modeling protein solvation effects at the molecular level has been challenging. Here, we present a method that improves the atomic-level modeling of soluble and membrane protein structures and binding by efficiently predicting de novo protein-solvent molecule interactions. The method predicted with unprecedented accuracy buried water molecule positions, solvated protein conformations, and challenging mutational effects on protein binding. When applied to homology modeling, solvent-bound membrane protein structures, pockets, and cavities were recapitulated with near-atomic precision even from distant homologs. Blindly refined atomic-level structures of evolutionary distant G protein-coupled receptors imply strikingly different functional roles of buried solvent between receptor classes. The method should prove useful for refining low-resolution protein structures, accurately modeling drug-binding sites in structurally uncharacterized receptors, and designing solvent-mediated protein catalysis, recognition, ligand binding, and membrane protein signaling.

Indexed as

SoftwareBinding SitesHumansHydrophobic and Hydrophilic InteractionsMolecular Dynamics SimulationMonte Carlo MethodProtein BindingProtein Conformation, alpha-HelicalProtein Conformation, beta-StrandProtein Interaction Domains and MotifsReceptors, G-Protein-CoupledSolventsStructural Homology, ProteinThermodynamicsWaterReceptors, G-Protein-CoupledSolventsWaterexplicit solvation modelG protein-coupled receptorsligand-binding cavitiesmembrane proteinsprotein binding energy predictionprotein designprotein homology modelingprotein modelingprotein-protein complexesprotein-solvent interactions

Identifiers

PMID28966016
PMCPMC5909693
OpenAlexW2759049238

What OpenQuestion holds

Textmetadata
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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.