ReviewNature reviews. Chemistry2024
Tackling assay interference associated with small molecules.
Review in Nature reviews. Chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Think Beyond The Core: Computationally Decoding the Hydrophilic Corona of Drug-Loaded Polymer Micelles.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Effect of Polyphenols Derived from Medicinal Plants on Multiple Myeloma via Modulating Bone Marrow Microenvironment.Chinese journal of integrative medicine · 2026Review
- Plant-Derived Natural Products and Selective Apoptosis: A Cancer-Cell Vulnerability-State Framework from Redox Imbalance to Membrane-Ion Dysregulation.Pharmaceuticals (Basel, Switzerland) · 2026Review
- From Algorithms to Assets: A Comprehensive Review of AI's Role in Preclinical Drug Discovery and the Hurdles to Clinical Translation.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Neutrophil extracellular traps in atherosclerosis: current evidence and therapeutic potential of plant-derived metabolites.Frontiers in pharmacology · 2026Review
- E-GuARD: expert-guided augmentation for the robust detection of compounds interfering with biological assays.Journal of cheminformatics · 2025Article
- Integrated Virtual Screening Approach Identifies New CYP19A1 Inhibitors.Journal of chemical information and modeling · 2025Article
- InertDB as a generative AI-expanded resource of biologically inactive small molecules from PubChem.Journal of cheminformatics · 2025Article
- Natural Products with Potential for the Treatment of Pain: Global Evidence from the NAPRALERT Database.Journal of natural products · 2024Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biochemical and cell-based assays are essential to discovering and optimizing efficacious and safe drugs, agrochemicals and cosmetics. However, false assay readouts stemming from colloidal aggregation, chemical reactivity, chelation, light signal attenuation and emission, membrane disruption, and other interference mechanisms remain a considerable challenge in screening synthetic compounds and natural products. To address assay interference, a range of powerful experimental approaches are available and in silico methods are now gaining traction. This Review begins with an overview of the scope and limitations of experimental approaches for tackling assay interference. It then focuses on theoretical methods, discusses strategies for their integration with experimental approaches, and provides recommendations for best practices. The Review closes with a summary of the critical facts and an outlook on potential future developments.
Indexed as
Identifiers
38622244What 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.