NOE-115 is under clinical development by Noema Pharma and currently in Phase I for Binge Eating Disorder. According to GlobalData, Phase I drugs for Binge Eating Disorder have a 100% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how NOE-115’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.
NOE-115 overview
NOE-115 is under development for the treatment of atypical depression and Binge eating disorder. The therapeutic candidate is a triple reuptake inhibitor targeting, sodium dependent dopamine transporter, sodium dependent noradrenaline transporter and sodium dependent serotonin transporter.
Noema Pharma overview
Noema Pharma (Noema) is a biotechnology company that discovers and develops treatment for orphan diseases of brain and central nervous system. The company is developing NOE-101, a mGluR5 inhibitor for treatment of tuberous sclerosis complex (TSC) and severe pain in trigeminal neuralgia (TN). It is also investigating NOE-105, a PDE10A inhibitor that modulates dopamines D2 receptors to treat tourette syndrome. The company was funded by Sofinnova Partners, Glide healthcare, Invus, Roche, BioMed Partners and Polaris Partners. Noema is headquartered in Basel, Basel-Stadt, Switzerland.
For a complete picture of NOE-115’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.
