ArticleBriefings in bioinformatics2022
Minimal information for chemosensitivity assays (MICHA): a next-generation pipeline to enable the FAIRification of drug screening experiments.
Article in Briefings in bioinformatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A critical assessment of Traditional Chinese Medicine databases as a source for drug discovery.Frontiers in pharmacology · 2024Pooled it
- DORSSAA: Drug-Target interactOmics Resource Based on Stability/Solubility Alteration Assay.Molecular & cellular proteomics : MCP · 2026Article
- Data curation in cheminformatics: importance and implementation.Journal of cheminformatics · 2026Review
- Integrating artificial intelligence and manual curation to enhance bioassay annotations in ChEMBL.Journal of cheminformatics · 2026Article
- A template wizard for the cocreation of machine-readable data-reporting to harmonize the evaluation of (nano)materials.Nature protocols · 2024Review
- RepurposeDrugs: an interactive web-portal and predictive platform for repurposing mono- and combination therapies.Briefings in bioinformatics · 2024Article
- Editorial: Functional screening for cancer drug discovery: from experimental approaches to data integration.Frontiers in genetics · 2023Article
- DrugRepo: a novel approach to repurposing drugs based on chemical and genomic features.Scientific reports · 2022Article
- Intrinsically Disordered Proteins: An Overview.International journal of molecular sciences · 2022Review
- Using BERT to identify drug-target interactions from whole PubMed.BMC bioinformatics · 2022Article
- SynergyFinder Plus: Toward Better Interpretation and Annotation of Drug Combination Screening Datasets.Genomics, proteomics & bioinformatics · 2022Article
Corrections and comments
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19 authors.
Funding
Abstract
Chemosensitivity assays are commonly used for preclinical drug discovery and clinical trial optimization. However, data from independent assays are often discordant, largely attributed to uncharacterized variation in the experimental materials and protocols. We report here the launching of Minimal Information for Chemosensitivity Assays (MICHA), accessed via https://micha-protocol.org. Distinguished from existing efforts that are often lacking support from data integration tools, MICHA can automatically extract publicly available information to facilitate the assay annotation including: 1) compounds, 2) samples, 3) reagents and 4) data processing methods. For example, MICHA provides an integrative web server and database to obtain compound annotation including chemical structures, targets and disease indications. In addition, the annotation of cell line samples, assay protocols and literature references can be greatly eased by retrieving manually curated catalogues. Once the annotation is complete, MICHA can export a report that conforms to the FAIR principle (Findable, Accessible, Interoperable and Reusable) of drug screening studies. To consolidate the utility of MICHA, we provide FAIRified protocols from five major cancer drug screening studies as well as six recently conducted COVID-19 studies. With the MICHA web server and database, we envisage a wider adoption of a community-driven effort to improve the open access of drug sensitivity assays.
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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.