Usmarapride is under clinical development by Suven Life Sciences and currently in Phase I for Cognitive Disorders. According to GlobalData, Phase I drugs for Cognitive Disorders have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how Usmarapride’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
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Usmarapride overview
SUVND-4010 (SUVN-D1108121) is under development for the treatment of cognitive dysfunction associated with Alzheimer’s disease and schizophrenia. It is administered orally in the form of tablet. The drug candidate is a new chemical entity, it acts by targeting 5-HT4 receptor.
Suven Life Sciences overview
Suven Life Sciences (Suven) is a biopharmaceutical company. It carries out the discovery and development of novel pharmaceutical products. Its pipeline products include masupirdine (SUVN-502), samelisant (SUVN-G3031), usmarapride (SUVN-D4010), ropanicant (SUVN-911), SUVN-I6107, SUVN-M8036 and SUVN-D1044. The company’s product portfolio treats central nervous system (CNS) diseases such as alzheimer’s, dementia, narcolepsy, major depressive disorder (MDD), attention deficient hyperactivity disorder (ADHD), huntington’s disease, parkinson’s, bipolar disorder, and various neuro-psychiatry disorders. Suven also offers drug discovery and development support services (DDDSS) including synthetic and medicinal chemistry, analytical chemistry, in vitro biology, pharmacology, toxicology, bioanalysis, and ncenew chemical entity (NCE) formulations. Suven is headquartered in Hyderabad, Telangana, India.
For a complete picture of Usmarapride’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.
