BNT-164 is under clinical development by BioNTech and currently in Phase II for Tuberculosis. According to GlobalData, Phase II drugs for Tuberculosis have a 57% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how BNT-164’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.
BNT-164 overview
BNT-164 is under development for the prevention of tuberculosis. The therapeutic candidates is developed based on the messenger RNA (mRNA) therapeutics technology. It is administered through intramuscular route.
BioNTech overview
BioNTech is a biotechnology company that develops immunotherapies for cancer and infectious diseases. It is investigating mRNA therapeutics, engineered cell and gene therapies, antibodies and small molecule immunomodulators to treat advanced melanoma, solid tumors, non-small cell lung cancer (NSCLC), prostate, head and neck, ovarian, pancreatic and triple negative breast cancer. The company is also evaluating treatments for HIV, tuberculosis, malaria, hepatitis B, influenza, and COVID-19. BioNTech uses FixVac and iNeST technology platforms to discover and develop cancer immunotherapies targeting antigens and neoantigens. It works in partnership with Genentech Inc, Pfizer, Genmab AS and other biopharmaceutical companies to develop its pipeline products. BioNTech is headquartered in Mainz, Rhineland-Palatinate, Germany.
For a complete picture of BNT-164’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.
