OTTM: an automated classification tool for translational drug discovery from omics data.

ABSTRACT: Omics data from clinical samples are the predominant source of target discovery and drug development. Typically, hundreds or thousands of differentially expressed genes or proteins can be identified from omics data. This scale of possibilities is overwhelming for target discovery and validation using biochemical or cellular experiments. Most of these proteins and genes have no corresponding drugs or even active compounds. Moreover, a proportion of them may have been previously reported as being relevant to the disease of interest. To facilitate translational drug discovery from omics data, we have developed a new classification tool named Omics and Text driven Translational Medicine (OTTM). This tool can markedly narrow the range of proteins or genes that merit further validation via drug

SUBMITTER: Yang X 

PROVIDER: S-EPMC10516341 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature