ArticleNature methods2017
Probes &Drugs portal: an interactive, open data resource for chemical biology.
Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled 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.
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
48 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic literature review reveals suboptimal use of chemical probes in cell-based biomedical research.Nature communications · 2023Pooled it
- Article
- Comparative Performance Evaluation of GCN, GAT, and GraphSAGE Architectures for Drug-Gene Interaction Prediction in Ameloblastoma via MEK-Pathway Targeting.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Comparing Neural Networks and Naive Bayes in the Prediction of Drug Gene Interactions of Type 4 Collagenase for Gingival Epithelialization.International journal of dentistry · 2026Article
- Cell Painting Protocol to Characterize Morphological Profiles of Large Compound Collections Using the EU-OPENSCREEN Library.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Morphological profiling data resource enables prediction of chemical compound properties.iScience · 2025Article
- Comparative Evaluation and Profiling of Chemical Tools for the Nuclear Hormone Receptor Family 2.ACS pharmacology & translational science · 2025Article
- Chemogenomics for steroid hormone receptors (NR3).Communications chemistry · 2025Article
- Semisupervised Contrastive Learning for Bioactivity Prediction Using Cell Painting Image Data.Journal of chemical information and modeling · 2025Article
- From library to landscape: integrative annotation workflows for compound libraries in drug repurposing.Database : the journal of biological databases and curation · 2025Article
- ECBD: European chemical biology database.Nucleic acids research · 2025Article
- Machine learning prediction of intestinal α-glucosidase inhibitors using a diverse set of ligands: a drug repurposing effort with drugBank database screening.In silico pharmacology · 2025Article
- Article
- Drug Repurposing: Insights into Current Advances and Future Applications.Current medicinal chemistry · 2025Review
- Probe my Pathway (PmP): a portal to explore the chemical coverage of the human Reactome.Database : the journal of biological databases and curation · 2024Article
- Graph Neural Networks-Based Prediction of Drug Gene Interactions of RTK-VEGF4 Receptor Family in Periodontal Regeneration.Journal of clinical and experimental dentistry · 2024Article
- Molecular Property Diagnostic Suite Compound Library (MPDS-CL): a structure-based classification of the chemical space.Molecular diversity · 2024Article
- Article
- Article
- Graph Neural Network-Based Drug Gene Interactions of Wnt/β-Catenin Pathway in Bone Formation.Cureus · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
28753599What 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.