ArticleSLAS discovery : advancing life sciences R & D2017
PubChem BioAssay: A Decade's Development toward Open High-Throughput Screening Data Sharing.
Article in SLAS discovery : advancing life sciences R & D, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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
23 citing papers in PubMed, 51 citations in OpenAlex.
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- ChemFH: an integrated tool for screening frequent false positives in chemical biology and drug discovery.Nucleic acids research · 2024Article
- Tackling assay interference associated with small molecules.Nature reviews. Chemistry · 2024Review
- Identification of Novel Antimicrobial Compounds TargetingMolecules (Basel, Switzerland) · 2024Article
- Integrating multiscale and machine learning approaches towards the SAMPL9 logPhysical chemistry chemical physics : PCCP · 2024Article
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- High-Throughput Phenotypic Screening and Machine Learning Methods Enabled the Selection of Broad-Spectrum Low-Toxicity Antitrypanosomatidic Agents.Journal of medicinal chemistry · 2023Article
- A practical guide to machine-learning scoring for structure-based virtual screening.Nature protocols · 2023Review
- The Commoditization of AI for Molecule Design.Artificial intelligence in the life sciences · 2022Article
- GenUI: interactive and extensible open source software platform for de novo molecular generation and cheminformatics.Journal of cheminformatics · 2021Article
- Investigation of pharmacological mechanism of natural product using pathway fingerprints similarity based on "drug-target-pathway" heterogenous network.Journal of cheminformatics · 2021Article
- Quantum Machine Learning Algorithms for Drug Discovery Applications.Journal of chemical information and modeling · 2021Article
- Molecular mechanism underlying the hypolipidemic effect of Shanmei Capsule based on network pharmacology and molecular docking.Technology and health care : official journal of the European Society for Engineering and Medicine · 2021Article
- Comparing Machine Learning Algorithms for Predicting Drug-Induced Liver Injury (DILI).Molecular pharmaceutics · 2020Article
- Benchmarking Data Sets from PubChem BioAssay Data: Current Scenario and Room for Improvement.International journal of molecular sciences · 2020Review
- 100 Years of Suramin.Antimicrobial agents and chemotherapy · 2020Review
- Ectopic suicide inhibition of thioredoxin glutathione reductase.Free radical biology & medicine · 2020Article
- Using genetic drug-target networks to develop new drug hypotheses for major depressive disorder.Translational psychiatry · 2019Article
- Development and Testing of Druglike Screening Libraries.Journal of chemical information and modeling · 2019Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput screening (HTS) is now routinely conducted for drug discovery by both pharmaceutical companies and screening centers at academic institutions and universities. Rapid advance in assay development, robot automation, and computer technology has led to the generation of terabytes of data in screening laboratories. Despite the technology development toward HTS productivity, fewer efforts were devoted to HTS data integration and sharing. As a result, the huge amount of HTS data was rarely made available to the public. To fill this gap, the PubChem BioAssay database ( https://www.ncbi.nlm.nih.gov/pcassay/ ) was set up in 2004 to provide open access to the screening results tested on chemicals and RNAi reagents. With more than 10 years' development and contributions from the community, PubChem has now become the largest public repository for chemical structures and biological data, which provides an information platform to worldwide researchers supporting drug development, medicinal chemistry study, and chemical biology research. This work presents a review of the HTS data content in the PubChem BioAssay database and the progress of data deposition to stimulate knowledge discovery and data sharing. It also provides a description of the database's data standard and basic utilities facilitating information access and use for new users.
Indexed as
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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.