ArticleScientific reports2018
Structural Basis for Binding of Allosteric Drug Leads in the Adenosine A
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed, 76 citations in OpenAlex.
- From empirical screening to lipid trolling: the evolution of extrahelical allosteric modulators of AMedicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026Review
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- Interactions between Inhibitors and 5-Lipoxygenase: Insights from Gaussian Accelerated Molecular Dynamics and Markov State Models.International journal of molecular sciences · 2024Article
- Lipid Trolling to Optimize AJournal of medicinal chemistry · 2024Article
- Activation of Polycystin-1 Signaling by Binding of Stalk-derived Peptide Agonists.bioRxiv : the preprint server for biology · 2024Article
- Mechanism of Ligand Binding to Theophylline RNA Aptamer.Journal of chemical information and modeling · 2024Article
- Accelerating Molecular Dynamics Simulations for Drug Discovery.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Mechanistic Insights into Peptide Binding and Deactivation of an Adhesion G Protein-Coupled Receptor.Molecules (Basel, Switzerland) · 2023Article
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- Dynamic allosteric networks drive adenosine AeLife · 2023Article
- Deep Learning Dynamic Allostery of G-Protein-Coupled Receptors.Research square · 2023Article
- Deep Learning Dynamic Allostery of G-Protein-Coupled Receptors.bioRxiv : the preprint server for biology · 2023Article
- Small molecule allosteric modulation of the adenosine AFrontiers in endocrinology · 2023Review
- The full activation mechanism of the adenosine AProceedings of the National Academy of Sciences of the United States of America · 2022Article
- International Union of Basic and Clinical Pharmacology. CXII: Adenosine Receptors: A Further Update.Pharmacological reviews · 2022Review
- Molecular Simulations and Drug Discovery of Adenosine Receptors.Molecules (Basel, Switzerland) · 2022Review
- GLOW: A Workflow Integrating Gaussian-Accelerated Molecular Dynamics and Deep Learning for Free Energy Profiling.Journal of chemical theory and computation · 2022Article
- Challenges and frontiers of computational modelling of biomolecular recognition.QRB discovery · 2022Article
- Mechanism of RNA recognition by a Musashi RNA-binding protein.Current research in structural biology · 2022Review
- Binding Analysis Using Accelerated Molecular Dynamics Simulations and Future Perspectives.Advances and applications in bioinformatics and chemistry : AABC · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Despite intense interest in designing positive allosteric modulators (PAMs) as selective drugs of the adenosine 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.