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- W4376478633 abstract "As multi-omics technology evolves, the underlying cause of disease and how it impacts a distinct biochemical pathway becomes apparent. The disease diagnosis and treatment paradigm are shifting due to genomics, which is already impacting medication development. Emerging methods for multi-omics, in which data on the genome, the transcriptome (the RNA that codes the proteins), and the proteome (all the proteins) are merged, are made possible by better bioinformatics tools and more access to sequencing data. With this information, it is possible to comprehend the biology of the ailment or disease and the method of action of current medications in more depth. New therapy targets are emerging as a result. The amount of scientific data that is currently accessible for the challenging endeavor of manually investigating a target has rapidly risen because of the high-throughput and cheap cost of modern omics technologies, which enable quantitative measurements of numerous possible targets (such as DNA, RNA, protein, and metabolite). Determining and prioritizing disease-relevant targets using current biomedical data sources, such as omics databases, require computational systems. This chapter elaborates on the same, discussing the present scenario and future perspectives." @default.
- W4376478633 created "2023-05-14" @default.
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- W4376478633 date "2023-01-01" @default.
- W4376478633 modified "2023-10-13" @default.
- W4376478633 title "Multi-Omics Approaches in Drug Discovery" @default.
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- W4376478633 doi "https://doi.org/10.1007/978-981-99-1316-9_4" @default.
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