S-95035 is under clinical development by Les Laboratoires Servier and currently in Phase I for Solid Tumor. According to GlobalData, Phase I drugs for Solid Tumor have a 70% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how S-95035’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.

S-95035 overview

Small molecules are under development for the treatment of hematological and solid tumors. The drug candidates act by targeting methionine adenosyl transferase 2A (MAT2A). It is administered through oral route.

Les Laboratoires Servier overview

Les Laboratoires Servier (Servier) researches, develops, manufactures, and markets drugs for treating various diseases. The company’s portfolio of marketed products treats central nervous system (CNS) disorders, cardiovascular diseases, cancer, ENT disorders, respiratory diseases, hematological disorders, hormonal disorders, and others. The company also provides generic drugs and contract development and manufacturing services across its global network. The company also provides digital therapeutic solutions through its e-health division, WeHealth Digital Medicine. It sells products in Europe, America, Middle East, Africa, and Asia. Servier headquartered in Suresnes, Ile-de-France, France.

For a complete picture of S-95035’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 16 July 2024

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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.