3K3A-APC is under clinical development by ZZ Biotech and currently in Phase I for Wounds. According to GlobalData, Phase I drugs for Wounds 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 3K3A-APC 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.

3K3A-APC overview

3K3A-APC is under development for the treatment of Alzheimer’s disease, acute ischemic stroke, amyotrophic lateral sclerosis (ALS), neurotrauma, diabetic foot ulcers, chronic wounds and sepsis. The drug candidate is administered through intravenous route. It is a recombinant genetically engineered variant of the naturally occurring activated protein C (APC). It was also under development for the treatment of septic shock.

ZZ Biotech overview

ZZ Biotech is a pharmaceutical and healthcare company focused on the development of biologic treatments for ischemic stroke and other neurological diseases. The company’s lead product includes 3K3A-APC, a genetically engineered recombinant human activated protein C (APC) that reduces anticoagulant activity, which minimizes the risk of bleeding and also maintains cell-protective. In addition, it is also used as anti-inflammatory activities indicated for the treatment acute ischemic stroke and diabetic foot ulcers. The company has operations in Sydney, Australia. ZZ Biotech is headquartered in Houston, Texas, the US.

For a complete picture of 3K3A-APC’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.