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.
Povetacicept overview
Povetacicept is under development for the treatment of myasthenia gravis, systemic lupus erythematosus, membranous glomerulonephritis, Sjogren’s syndrome, proteinuria in IgA nephropathy (Berger’s Disease), lupus nephritis, immune thrombocytopenia, acquired (autoimmune) hemolytic anemia, cold agglutinin disease, unspecified antibody-related neurological diseases, ANCA-associated vasculitides and autoimmune encephalitis (post-infectious). It is administered through intravenous and subcutaneous route. The drug candidate is an engineered B-cell modulator. It acts by targeting BAFF and APRIL.
It was also under development for pemphigus foliaceus, pemphigus vulgaris and bullous pemphigoid.
Alpine Immune Sciences overview
Alpine Immune Sciences (Alpine), a subsidiary of Vertex Pharmaceuticals Inc. is a clinical-stage biopharmaceutical company that discovers and develops protein-based immunotherapies. The company’s main activities involve the use of unique protein engineering strategies, including the directed evolution of immune proteins into novel, multi-targeted therapeutics. Alpine’s pipeline products include povetacicept (ALPN-303) is a dual antagonist of the B cell activating factor (BAFF) and a proliferation-inducing ligand that targets systemic lupus erythematosus, glomerulonephritis and cytopenia; and acazicolcept (ALPN-101) is a first-in-class, dual inhibitor of the CD28 and ICOS T-cell costimulatory pathways that treat systemic lupus erythematosus (SLE). Alpine is headquartered in Seattle, Washington, the US.
For a complete picture of Povetacicept’s drug-specific PTSR and LoA scores, buy the report here.
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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.