OCU-410 is under clinical development by Ocugen and currently in Phase II for Dry (Atrophic) Macular Degeneration. According to GlobalData, Phase II drugs for Dry (Atrophic) Macular Degeneration does not have sufficient historical data to build an indication benchmark PTSR for Phase II. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the OCU-410 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.
OCU-410 overview
OCU-410 is under development for the treatment of geographic atrophy secondary to dry age-related macular degeneration. The therapeutic candidate is an adeno-associated virus containing the gene for RAR related orphan receptor A (RORA). It is developed based on modifier gene therapy platform. It is administered through subretinal route.
Ocugen overview
Ocugen Is a biopharmaceutical company that discovers, develops and commercializes drugs for treatment. It is investigating OCU-400 against NR2E3, RHO, CEP290, and PDE6B mutation-associated retinal degeneration; and OCU-410 targeting dry age-related macular degeneration. The company is developing OCU200 drugs to treat diabetic macular edema, diabetic retinopathy, and wet-age-related macular degeneration. Ocugen is also investing OCU410ST for stargardt orphan disease. It utilizes a modified gene therapy platform to develop its products. The company operates in Ireland and the US. Ocugen is headquartered in Malvern, Pennsylvania, the US.
For a complete picture of OCU-410’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.
