ArticleChemical biology & drug design2018
Mapping the allosteric sites of the A
Article in Chemical biology & drug design, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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.
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.
Who cites it
19 citing papers in PubMed.
- Uncovering hidden druggable sites: computational approaches to allosteric and cryptic pocket discovery-from molecular dynamics to AI.Journal of computer-aided molecular design · 2026Review
- Discovery of the First Efficacious Adenosine 2A Receptor Negative Allosteric Modulators for High Adenosine Cancer Immunotherapies.Journal of medicinal chemistry · 2025Article
- Know your molecule: pharmacological characterization of drug candidates to enhance efficacy and reduce late-stage attrition.Nature reviews. Drug discovery · 2024Review
- Adenosine receptors in breast cancer.Molecular biology reports · 2024Review
- Allosteric Regulation of G-Protein-Coupled Receptors: From Diversity of Molecular Mechanisms to Multiple Allosteric Sites and Their Ligands.International journal of molecular sciences · 2023Review
- In Silico Methods for Identification of Potential Active Sites of Therapeutic Targets.Molecules (Basel, Switzerland) · 2022Review
- Mapping the binding sites of challenging drug targets.Current opinion in structural biology · 2022Review
- The Pharmacological Potential of Adenosine AMolecules (Basel, Switzerland) · 2022Review
- Molecular Simulations and Drug Discovery of Adenosine Receptors.Molecules (Basel, Switzerland) · 2022Review
- Development of enhanced conformational sampling methods to probe the activation landscape of GPCRs.Advances in protein chemistry and structural biology · 2022Review
- Probe Confined Dynamic Mapping for G Protein-Coupled Receptor Allosteric Site Prediction.ACS central science · 2021Article
- Pathways and Mechanism of Caffeine Binding to Human Adenosine AFrontiers in molecular biosciences · 2021Article
- Mapping allosteric communications within individual proteins.Nature communications · 2020Article
- Insights into adenosine A2A receptor activation through cooperative modulation of agonist and allosteric lipid interactions.PLoS computational biology · 2020Article
- Discovery and Preclinical Development of Orally Active Small Molecules that Exhibit Highly Selective Follicle Stimulating Hormone Receptor Agonism.Frontiers in pharmacology · 2020Article
- Kinase Atlas: Druggability Analysis of Potential Allosteric Sites in Kinases.Journal of medicinal chemistry · 2019Review
- Analysis of tractable allosteric sites in G protein-coupled receptors.Scientific reports · 2019Article
- Application of Nanoparticles for Targeting G Protein-Coupled Receptors.International journal of molecular sciences · 2018Review
- An overview of recent molecular dynamics applications as medicinal chemistry tools for the undruggable site challenge.MedChemComm · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The A
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.