SCO-267 is under clinical development by Scohia Pharma and currently in Phase I for Obesity. According to GlobalData, Phase I drugs for Obesity have a 59% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how SCO-267’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.
SCO-267 overview
SCO-267 is under development for the treatment of non-alcoholic steatohepatitis (NASH), diabetes, nonalcoholic fatty liver disease and obesity. It acts by targeting GPR40. It is administered through oral route.
Scohia Pharma overview
Scohia Pharma (Scohia) is a drug discovery company that discovers and develops novel therapies for lifestyle-related diseases including cardiovascular, metabolic, and renal disease. It conducts research for medicinal chemistry, pharmacology, and clinical development; and develops products for partner companies. The company’s pipeline includes a wide range of drug candidates to treat diabetic kidney disease, hypertension, phenylketonuria, maple syrup urine disease, homocystinuria, nephrotic syndrome, diabetes, obesity, nonalcoholic steatohepatitis (NASH), infertility, alopecia, and among others. It is also developing small molecules and peptide-based drugs for rare endocrine diseases, lymphoedema, and other indications. Scohia is headquartered in Fujisawa, Kanagawa, Japan.
For a complete picture of SCO-267’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.
