OPTAR Introduction :

In previous study, we have successfully developed a new computational tool named OTTM for translational medicine drug discovery and target discovery research (PMID: 37594310). Here we report a computational tool named OPTAR, for the target discovery and drug discovery from spatial transcriptome data or other omics data. In principle, these two new tools OTTM and OPTAR are complementary. OTTM is used to discover new anti-disease targets with corresponding drugs, while OPTAR is used to discover new anti-disease targets without any drugs or compounds. Among those candidate target proteins from omics data, OPTAR assesses and ranks promising targets via binding pocket analysis with AlphaFold structures of all human protein. Then the first active compound for selected target protein is expected to be discovered via high-throughput compound screening. Finally, this active compound for the new target protein is to be assessed on disease models, to substantiate the therapeutic potentials of both the new target and its corresponding active compounds.

OPTAR Citation :

OPTAR: A computational tool for target discovery based on disease correlation inference from literature of interacting proteins

Xiao Yuan#, Siyu Zhou#, Jiayi Yu#, Cheng Luo, Hao Zhang*

https://www.maxapress.com/article/doi/10.48130/targetome-0026-0017
DOI : 10.48130/targetome-0026-0017