PTC-607 is under clinical development by PTC Therapeutics and currently in Phase I for Huntington Disease. According to GlobalData, Phase I drugs for Huntington Disease does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the PTC-607 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.
PTC-607 overview
PTC-607 is under development for the treatment of Huntington's disease. The therapeutic candidate is administered through oral route.
PTC Therapeutics overview
PTC Therapeutics discovers, develops, and markets medicines for the treatment of rare disorders. Its marketed products include Evrysdi (risdiplam) for spinal muscular atrophy, Translarna (ataluren) and Emflaza (deflazacort) for the treatment of Duchenne muscular dystrophy. The company’s pipeline candidates target the treatment of Huntington’s disease; children with inherited mitochondrial disease; leiomyosarcoma; acute myelogenous leukemia; and aromatic L-amino acid decarboxylase deficiency. PTC Therapeutics works in collaboration with various biotechnology and pharmaceutical companies for advancing its pipeline candidates. It operates through its subsidiaries in the US and Europe. PTC Therapeutics is headquartered in South Plainfield, New Jersey, the US.
For a complete picture of PTC-607’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.
