MP-204 is under clinical development by Mustafa Nevzat Ilac ve Kimyevi Maddeler San Tic and currently in Phase II for Human Papillomavirus Infections. According to GlobalData, Phase II drugs for Human Papillomavirus Infections have a 19% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how MP-204’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.
Smarter leaders trust GlobalData
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.
MP-204 overview
MP-204 is under development for the treatment of viral skin infections caused by human papillomavirus (HPV). The therapeutic candidate is administered through topical route.
Mustafa Nevzat Ilac ve Kimyevi Maddeler San Tic overview
Mustafa Nevzat Ilac ve Kimyevi Maddeler San Tic is a biopharmaceutical manufacturing company engaged in research and development of novel drugs to treat various life threatening diseases. The company is headquartered in Istanbul City, Istanbul, Turkey.
For a complete picture of MP-204’s drug-specific PTSR and LoA scores, buy the report here.
Data Insights
From
The gold standard of business intelligence.
Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.
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.
