Evidence map›Paper›PMID 28355542›Full record

ArticleBiophysical journal2017

Exploring Binding Mechanisms in Nuclear Hormone Receptors by Monte Carlo and X-ray-derived Motions.

Christoph Grebner, Daniel Lecina, Victor Gil, Johan Ulander, Pia Hansson, Anita Dellsen, Christian Tyrchan, Karl Edman, Anders Hogner, Victor Guallar

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.7field-weighted citation impact, top 7% 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, 25 citations in OpenAlex.

  1. Discovery of Novel Anti-Resistance AR Antagonists Guided by Funnel Metadynamics Simulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  2. Recent PELE Developments and Applications in Drug Discovery Campaigns.International journal of molecular sciences · 2022
    Review
  3. Article
  4. Article
  5. ΔBritish journal of pharmacology · 2020
    Article
  6. Article
  7. Article
  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

10 authors at 3 institutions in 2 countries.

Christoph GrebnerCardiovascular & Metabolic Disease (CVMD), AstraZeneca, Mölndal, Sweden. Electronic address: christoph.grebner@astrazeneca.com.
Daniel LecinaJoint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain.
Victor GilJoint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain.
Johan UlanderCardiovascular & Metabolic Disease (CVMD), AstraZeneca, Mölndal, Sweden.
Pia HanssonDiscovery Sciences, AstraZeneca, Mölndal, Sweden.
Anita DellsenDiscovery Sciences, AstraZeneca, Mölndal, Sweden.
Christian TyrchanRespiratory, Inflammation, and Autoimmunity (RIA), AstraZeneca, Mölndal, Sweden.
Karl EdmanDiscovery Sciences, AstraZeneca, Mölndal, Sweden. Electronic address: karl.edman@astrazeneca.com.
Anders HognerCardiovascular & Metabolic Disease (CVMD), AstraZeneca, Mölndal, Sweden.
Victor GuallarJoint BSC-CRG-IRB Research Program in Computational Biology, Barcelona Supercomputing Center, Barcelona, Spain; Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain. Electronic address: victor.guallar@bsc.es.
AstraZeneca (Sweden) · SEBarcelona Supercomputing Center · ESInstitució Catalana de Recerca i Estudis Avançats · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we performed an extensive exploration of the ligand entry mechanism for members of the steroid nuclear hormone receptor family (androgen receptor, estrogen receptor α, glucocorticoid receptor, mineralocorticoid receptor, and progesterone receptor) and their endogenous ligands. The exploration revealed a shared entry path through the helix 3, 7, and 11 regions. Examination of the x-ray structures of the receptor-ligand complexes further showed two distinct folds of the helix 6-7 region, classified as "open" and "closed", which could potentially affect ligand binding. To improve sampling of the helix 6-7 loop, we incorporated motion modes based on principal component analysis of existing crystal structures of the receptors and applied them to the protein-ligand sampling. A detailed comparison with the anisotropic network model (an elastic network model) highlights the importance of flexibility in the entrance region. While the binding (interaction) energy of individual simulations can be used to score different ligands, extensive sampling further allows us to predict absolute binding free energies and analyze reaction kinetics using Markov state models and Perron-cluster cluster analysis, respectively. The predicted relative binding free energies for three ligands binding to the progesterone receptor are in very good agreement with experimental results and the Perron-cluster cluster analysis highlighted the importance of a peripheral binding site. Our analysis revealed that the flexibility of the helix 3, 7, and 11 regions represents the most important factor for ligand binding. Furthermore, the hydrophobicity of the ligand influences the transition between the peripheral and the active binding site.

Indexed as

Monte Carlo MethodMovementKineticsLigandsMarkov ChainsModels, MolecularProtein BindingProtein Conformation, alpha-HelicalReceptors, Cytoplasmic and NuclearThermodynamicsX-RaysLigandsReceptors, Cytoplasmic and Nuclear

Identifiers

PMID28355542
PMCPMC5375144
OpenAlexW2601278367

What OpenQuestion holds

Textmetadata
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.