Evidence map›Paper›PMID 24158803›Full record

ReviewAdvances in experimental medicine and biology2014

Beyond standard molecular dynamics: investigating the molecular mechanisms of G protein-coupled receptors with enhanced molecular dynamics methods.

Jennifer M Johnston, Marta Filizola

Abstract readReview
In one paragraph

Review in Advances in experimental medicine and biology, 2014. 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
5.2field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Tailor-made GPCRs.Nature chemical biology · 2020
    Article
  7. Review
  8. Update on melatonin receptors: IUPHAR Review 20.British journal of pharmacology · 2016
    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

2 authors at 1 institution in 1 country.

Jennifer M JohnstonDepartment of Structural and Chemical Biology, Icahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, New York, NY, 10029, USA.
Marta Filizola
Icahn School of Medicine at Mount Sinai · US

Funding

TRAINING IN PHARMACOLOGY OF DRUGS OF ABUSET32DA007135 · NIDA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI DEVI, LAKSHMI A · 1985 to 2018
$4.9M
Dynamic Mechanisms of GPCRs Targeted by Drugs of AbuseR01DA034049 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FILIZOLA, MARTA · 2012 to 2016
$1.8M
Structural Aspects of Oligomerization in the Function of GPCRsK02DA026434 · NIDA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI FILIZOLA, MARTA · 2009 to 2018
$1.2M
NIDA NIH HHS DA026434NIDA NIH HHS DA034049NIDA NIH HHS K02 DA026434NIDA NIH HHS R01 DA034049NIDA NIH HHS T32 DA007135
6 · The paper itself

Abstract

The majority of biological processes mediated by G Protein-Coupled Receptors (GPCRs) take place on timescales that are not conveniently accessible to standard molecular dynamics (MD) approaches, notwithstanding the current availability of specialized parallel computer architectures, and efficient simulation algorithms. Enhanced MD-based methods have started to assume an important role in the study of the rugged energy landscape of GPCRs by providing mechanistic details of complex receptor processes such as ligand recognition, activation, and oligomerization. We provide here an overview of these methods in their most recent application to the field.

Indexed as

HumansLigandsMolecular Dynamics SimulationProtein BindingReceptors, G-Protein-CoupledLigandsReceptors, G-Protein-Coupled

Identifiers

PMID24158803
PMCPMC4074508
OpenAlexW23685639

What OpenQuestion holds

Textmetadata
LicenceTDM
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.