DREIMT: a drug repositioning database and prioritization tool for immunomodulation
| Autor: | Gonzalo Gómez-López, Santiago García-Martín, Daniel Gonzalez-Peña, Miguel Reboiro-Jato, Hugo López-Fernández, Kevin Troulé, Pedro Carmona-Sáez, Guillermo Martín-Serrano, Carlos Carretero-Puche, Jordi Martorell-Marugán, Fatima Al-Shahrour |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Statistics and Probability
Prioritization Drug Databases Factual Databases Pharmaceutical media_common.quotation_subject computer.software_genre Biochemistry Web tool Immunomodulation 03 medical and health sciences 0302 clinical medicine Immune system Medicine Molecular Biology Immune gene 030304 developmental biology media_common Supplementary data 0303 health sciences Database business.industry Drug Repositioning Computer Science Applications Computational Mathematics Drug repositioning Computational Theory and Mathematics 030220 oncology & carcinogenesis business Transcriptome computer |
| Popis: | Motivation Drug immunomodulation modifies the response of the immune system and can be therapeutically exploited in pathologies such as cancer and autoimmune diseases. Results DREIMT is a new hypothesis-generation web tool, which performs drug prioritization analysis for immunomodulation. DREIMT provides significant immunomodulatory drugs targeting up to 70 immune cells subtypes through a curated database that integrates 4960 drug profiles and ∼2600 immune gene expression signatures. The tool also suggests potential immunomodulatory drugs targeting user-supplied gene expression signatures. Final output includes drug–signature association scores, FDRs and downloadable plots and results tables. Availabilityand implementation http://www.dreimt.org. Supplementary information Supplementary data are available at Bioinformatics online. |
| Databáze: | OpenAIRE |
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