Omics and Text based Target Discovery and Drug Discovery Tools
About These Tools :
To facilitate the target discovery not applicable to chemical structure comparison, we have developed a new computational tool named OTTER (Omics and Text based Target Enrichment and Ranking). Starting from a list of differentially expressed genes, this tool is able to enrich the most relevant genes for specific pharmacological feature, via exhaustive text mining in all the PubMed abstracts available.
To facilitate the translational drug discovery from omics data, we have developed a new classification tool named OTTM (Omics and Text driven Translational Medicine). This tool is able to sharply narrow the range of proteins or genes worth further validation, via drug availability assessment and literature mining.
1. Cite OTTER :
Heng Xu#, Hongfang Zhao#, Chunyong Ding#, Defang Jiang, Zijie Zhao, Yang Li, Xiaoyu Ding, Jing Gao, Hu Zhou, Cheng Luo, Guoqiang Chen, Ao Zhang*, Ying Xu*, and Hao Zhang*.
Celastrol suppresses colorectal cancer via covalent targeting peroxiredoxin 1.
Signal Transduction and Targeted Therapy 2023 Feb 3; 8(1):51.
DOI : 10.1038/s41392-022-01231-4
2. Cite OTTM :
Xiaobo Yang#, Bei Zhang#, Siqi Wang#, Ye Lu, Kaixian Chen, Cheng Luo*, Aihua Sun*, Hao Zhang*
OTTM: An automated classification tool for translational drug discovery from omics data
Briefings In Bioinformatics 2023 (In Press)
DOI : 10.1093/bib/bbad301
Contact Dr. Hao Zhang by WeChat :
Correspondence : Dr. Hao Zhang, Chemical Biology Research Center
Shanghai University of Traditional Chinese Medicine