AI Article Synopsis

  • * Single-omics approaches struggle to clarify the complex relationships between drugs and phenotypes, leading to the adoption of multi-omics methods which combine data from various biological layers.
  • * This review discusses recent advancements in multi-omics for target identification, the strategies and tools used, challenges faced in multi-omics analysis, and the practical applications of these techniques in drug discovery.

Article Abstract

As an essential component of modern drug discovery, the role of drug-target identification is growing increasingly prominent. Additionally, single-omics technologies have been widely utilized in the process of discovering drug targets. However, it is difficult for any single-omics level to clearly expound the causal connection between drugs and how they give rise to the emergence of complex phenotypes. With the progress of large-scale sequencing and the development of high-throughput technologies, the tendency in drug-target identification has shifted towards integrated multi-omics techniques, gradually replacing traditional single-omics techniques. Herein, this review centers on the recent advancements in the domain of integrated multi-omics techniques for target identification, highlights the common multi-omics analysis strategies, briefly summarizes the selection of multi-omics analysis tools, and explores the challenges of existing multi-omics analyses, as well as the applications of multi-omics technology in drug-target identification.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11201992PMC
http://dx.doi.org/10.3390/biom14060692DOI Listing

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