ArticleNucleic acids research2019
PreMedKB: an integrated precision medicine knowledgebase for interpreting relationships between diseases, genes, variants and drugs.
Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
What it found
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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
32 citing papers in PubMed.
- Introducing iCatalog as a clinical decision support tool for collaborative pediatric precision oncology studies.Communications medicine · 2026Article
- PGxDB: an interactive web-platform for pharmacogenomics research.Nucleic acids research · 2025Article
- Cancer genomics and bioinformatics in Latin American countries: applications, challenges, and perspectives.Frontiers in oncology · 2025Review
- Advancing precision oncology with AI-powered genomic analysis.Frontiers in pharmacology · 2025Review
- Pharmacogenomics Tools for Precision Public Health and Lessons for Low- and Middle-Income Countries: A Scoping Review.Pharmacogenomics and personalized medicine · 2025Review
- CPMKG: a condition-based knowledge graph for precision medicine.Database : the journal of biological databases and curation · 2024Article
- The consequences of data dispersion in genomics: a comparative analysis of data sources for precision medicine.BMC medical informatics and decision making · 2023Article
- DrugMechDB: A Curated Database of Drug Mechanisms.Scientific data · 2023Article
- From Answers to Insights: Unveiling the Strengths and Limitations of ChatGPT and Biomedical Knowledge Graphs.Research square · 2023Article
- BALDR: A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus.PLoS computational biology · 2023Article
- From Answers to Insights: Unveiling the Strengths and Limitations of ChatGPT and Biomedical Knowledge Graphs.medRxiv : the preprint server for health sciences · 2023Article
- DrugMechDB: A Curated Database of Drug Mechanisms.bioRxiv : the preprint server for biology · 2023Article
- Article
- Bioinformatics roadmap for therapy selection in cancer genomics.Molecular oncology · 2022Review
- Artificial intelligence in clinical research of cancers.Briefings in bioinformatics · 2022Article
- GlioMarker: An integrated database for knowledge exploration of diagnostic biomarkers in gliomas.Frontiers in oncology · 2022Article
- Knowledge bases and software support for variant interpretation in precision oncology.Briefings in bioinformatics · 2021Article
- Heterogeneity of mesenchymal stem cells in cartilage regeneration: from characterization to application.NPJ Regenerative medicine · 2021Review
- Structural variant detection in cancer genomes: computational challenges and perspectives for precision oncology.NPJ precision oncology · 2021Review
- Microbial Genomics as a Catalyst for Targeted Antivirulence Therapeutics.Frontiers in medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One important aspect of precision medicine aims to deliver the right medicine to the right patient at the right dose at the right time based on the unique 'omics' features of each individual patient, thus maximizing drug efficacy and minimizing adverse drug reactions. However, fragmentation and heterogeneity of available data makes it challenging to readily obtain first-hand information regarding some particular diseases, drugs, genes and variants of interest. Therefore, we developed the Precision Medicine Knowledgebase (PreMedKB) by seamlessly integrating the four fundamental components of precision medicine: diseases, genes, variants and drugs. PreMedKB allows for search of comprehensive information within each of the four components, the relationships between any two or more components, and importantly, the interpretation of the clinical meanings of a patient's genetic variants. PreMedKB is an efficient and user-friendly tool to assist researchers, clinicians or patients in interpreting a patient's genetic profile in terms of discovering potential pathogenic variants, recommending therapeutic regimens, designing panels for genetic testing kits, and matching patients for clinical trials. PreMedKB is freely accessible and available at http://www.fudan-pgx.org/premedkb/index.html#/home.
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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.