ABP-745 is under clinical development by Jiangsu Atom Bioscience and Pharmaceutical and currently in Phase I for Gouty Arthritis (Gout). According to GlobalData, Phase I drugs for Gouty Arthritis (Gout) have an 86% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how ABP-745’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.
ABP-745 overview
ABP-745 is under development for the treatment of inflammation and acute gout. It is administered through oral route in the form of tablet.
Jiangsu Atom Bioscience and Pharmaceutical overview
Jiangsu Atom Bioscience and Pharmaceutical (Atom Bioscience) is a clinical stage biotechnology company. The company’s primary focus is on the development of best-in-class orally delivered small molecule drugs. These drugs are primarily designed for the treatment of inflammatory and metabolic diseases, including chronic gout, acute gout, and other conditions lacking effective treatments. It’s pipeline products include ABP-671, a URAT1 inhibitor for gout and hyperuricemia, ABP-431 and its structural analogues are firs-in-class anti-tumor drugs for the treatment of anti-gastric cancer, bowel cancer and triple-negative breast cancerand, ABP-745, intended for acute gout and other indications. Atom Bioscience is headquartered in Zhenjiang, Jiangsu, China.
For a complete picture of ABP-745’s drug-specific PTSR and LoA scores, buy the report here.
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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.
GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.
