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.

Mavacamten overview

Mavacamten (Camzyos) is an allosteri a modulator of β-cardiac myosin It is formulated as capsules for oral route of administration. Camzyos is indicated for the treatment of adults with symptomatic New York Heart Association (NYHA) class II-III obstructive hypertrophic cardiomyopathy (HCM) to improve functional capacity and symptoms.

Mavacamten (formerly MYK-461) is under development for the treatment of symptomatic obstructive hypertrophic cardiomyopathy, non-obstructive hypertrophic cardiomyopathy (HCM) as well as diastolic heart failure. The drug candidate is administered orally as capsules. It is a first in class allosteric modulator. It acts by targeting cardiac beta myosin (MYH7). It is developed based on MyoKardia's drug discovery platform.

Bristol-Myers Squibb overview

Bristol-Myers Squibb (BMS) is a specialty biopharmaceutical company that is engaged in discovery, development, licensing and manufacturing, marketing, distribution and sale of medicines and related medical products to patients with serious diseases. Its primary focus is on cancer, cardiovascular, immunology and fibrotic therapeutic projects. The company offers its products across the world to wholesalers, retail pharmacies, medical professionals, hospitals and government entities. BMS provides its products in the US, Europe, and Japan. The company conducts research to focus on the discovery and development of novel medicines that address serious diseases in areas of significant unmet medical need. BMS is headquartered in Princeton, New Jersey, the US.

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

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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.