NX-5948 is under clinical development by Nurix Therapeutics and currently in Phase I for Marginal Zone B-cell Lymphoma. According to GlobalData, Phase I drugs for Marginal Zone B-cell Lymphoma have an 82% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how NX-5948’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.
NX-5948 overview
Nurix Therapeutics overview
Nurix Therapeutics, formerly Nurix Inc, is a biopharmaceutical company that discovers, develops and commercializes small molecule drugs to treat cancer and autoimmune diseases. It is investigating NX-2127, a Bruton’s tyrosine kinase (BTK) inhibitor against B-cell malignancies; NX-5948 drug for the treatment of B-cell malignancies and autoimmune diseases; NX-1607, a ligase inhibitor for immune-oncology indications; and DeTIL-0255 program targeting tumor-infiltrating lymphocytes. The company is also evaluating KINASE-CTM3 against T-cell malignancies and autoimmune diseases; and COVID-CTMs for anti-viral infections. Nurix employs DELigase platform technology to modulate targeted proteins and also destroy disease-causing proteins by harnessing the activity of specific E3 ligases. The company works in collaboration with Sanofi and Gilead Sciences to develop its products. Nurix is headquartered in San Francisco, California, the US.
For a complete picture of NX-5948’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.
