Sucunamostat is under clinical development by Scohia Pharma and currently in Phase I for Maple Syrup Urine Disease. According to GlobalData, Phase I drugs for Maple Syrup Urine Disease does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the Sucunamostat LoA Report. Buy the report here.
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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.
Sucunamostat overview
The drug candidate was under development for the treatment of obesity, type 2 diabetes, non-alcoholic steatohepatitis (NASH) and chronic kidney disease.
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 Sucunamostat’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.
