ArticleMedChemComm2016
Open PHACTS computational protocols for
Article in MedChemComm, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 18 citations in OpenAlex.
- Clinical, metabolic, and genetic characterization of hereditary methemoglobinemia caused by cytochrome bJournal of veterinary internal medicine · 2019Article
- Harnessing Human Microphysiology Systems as Key Experimental Models for Quantitative Systems Pharmacology.Handbook of experimental pharmacology · 2019Article
- 3D-e-Chem: Structural Cheminformatics Workflows for Computer-Aided Drug Discovery.ChemMedChem · 2018Article
- YummyData: providing high-quality open life science data.Database : the journal of biological databases and curation · 2018Article
- Explicit interaction information from WikiPathways in RDF facilitates drug discovery in the Open PHACTS Discovery Platform.F1000Research · 2018Article
- Applications of chemogenomic library screening in drug discovery.Nature reviews. Drug discovery · 2017Review
- Empowering pharmacoinformatics by linked life science data.Journal of computer-aided molecular design · 2017Article
- DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases.Bioinformatics (Oxford, England) · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 11 institutions in 14 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Phenotypic screening is in a renaissance phase and is expected by many academic and industry leaders to accelerate the discovery of new drugs for new biology. Given that phenotypic screening is per definition target agnostic, the emphasis of
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.