PHVS-416 is under clinical development by Pharvaris and currently in Phase III for Hereditary Angioedema (HAE) (C1 Esterase Inhibitor [C1-INH] Deficiency). According to GlobalData, Phase III drugs for Hereditary Angioedema (HAE) (C1 Esterase Inhibitor [C1-INH] Deficiency) have a 78% phase transition success rate (PTSR) indication benchmark for progressing into Pre-Registration. GlobalData’s report assesses how PHVS-416’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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.

PHVS-416 overview

Deucrictibant (PHVS-416) is under development for the treatment and prevention of hereditary angioedema (HAE). It is administered through oral route in the form of immediate-release (IR) softgel capsule. The drug candidate acts by targeting B2 bradykinin receptor (BDKRB2).

Pharvaris overview

Pharvaris, is a clinical-stage biopharmaceutical company that develops and commercialization of innovative therapies for rare diseases. The company pipeline includes Deucrictibant (PHA121, PHA-022121) is a novel, small-molecule bradykinin B2-receptor antagonist for the treatment of hereditary angioedema (HAE). Pharvaris also evaluating and PHVS416, a soft gel capsule formulation and PHVS719, a tablet formulation for prophylactic treatment of bradykinin-mediated angioedema. The company works in collaboration with pharmaceutical for product development. The company operates in the US, Switzerland and the Netherlands. Pharvaris is headquartered in Leiden, Zuid-Holland, the Netherlands.

For a complete picture of PHVS-416’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 10 June 2024

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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.