EYP-651 is under clinical development by Enyo Pharma and currently in Phase II for Metabolic Dysfunction-Associated Steatohepatitis (MASH). According to GlobalData, Phase II drugs for Metabolic Dysfunction-Associated Steatohepatitis (MASH) have a 25% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how EYP-651’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.
EYP-651 overview
EYP-651 is under development for the treatment of chronic kidney disease, renally impaired non-alcoholic steatohepatitis and diabetic kidney disease. The therapeutic candidate acts by modulating mitochondrial NEET proteins.
Enyo Pharma overview
Enyo Pharma is a biopharmaceutical company that develops innovative therapeutics based on fibrinolytic and anti-inflammatory properties for impaired kidney function diseases. The company’s pipeline products include vonafexor (EYP001) a synthetic non-steroidal, non-bile acid NR1H4 agonist that treats alport syndrome; EYP651 targets chronic kidney disease and nonalcoholic steatohepatitis; and EYP651 treats diabetic kidney disease. It works in partnership with the Swiss Institute of Bioinformatics, Novadiscovery and Charles River Laboratories International, among others. Enyo Pharma is headquartered in Lyon, Rhone Alpes, France.
For a complete picture of EYP-651’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.
