Allergen for Peanut Allergy is under clinical development by ALK-Abello and currently in Phase I for Peanut Allergy. According to GlobalData, Phase I drugs for Peanut Allergy have a 78% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how Allergen for Peanut Allergy’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.
Allergen for Peanut Allergy overview
Allergen is under development for the treatment of peanut allergy. It is administered through oral route as a sublingual tablet.
ALK-Abello overview
ALK-Abello (ALK), a subsidiary of The Lundbeck Foundation, discovers, develops, and commercializes immunotherapies to treat and prevent allergies. The company’s allergy immunotherapy product portfolio includes tablets, sublingual or drop-based vaccines, subcutaneous vaccines, and adrenaline auto-injectors to treat severe allergic reactions in emergencies (anaphylaxis). ALK’s research and development pipeline products include sublingual immunotherapy tablets for addressing ragweed, house dust mite, and tree pollen allergy. The company’s products target allergies caused by grass, tree, ragweed, house dust mite, Japanese cedar, and venom. The company has subsidiaries in Europe, North America, and Asia-Pacific. ALK is headquartered in Horsholm, Denmark.
For a complete picture of Allergen for Peanut Allergy’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.
