S-309309 is under clinical development by Shionogi and currently in Phase II for Obesity. According to GlobalData, Phase II drugs for Obesity have a 29% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how S-309309’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.
S-309309 overview
S-309309 is under development for the treatment of obesity. It is administered through Oral route as capsule formulation. The drug candidate acts by targeting the monoacylglycerol acyltransferase-2 (MGAT2).
Shionogi overview
Shionogi focuses on the research, development, manufacturing, and marketing of pharmaceutical products, diagnostic reagents, and medical devices. It develops innovative products and services in collaboration with its partners. The company offers prescription drugs, over-the-counter (OTC) drugs, and diagnostic products for therapeutic areas including metabolic disorders, pain/central nervous system (CNS), infectious diseases and cancer. It offers contract development and manufacturing facilities including all stages from drug development to commercial manufacturing. The company operates a network of subsidiaries, branches, sales offices manufacturing plants, and research laboratories across Japan, China, Taiwan, North America and Europe. Shionogi is headquartered in Osaka, Japan.
For a complete picture of S-309309’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.
