Aficamten is under clinical development by Cytokinetics and currently in Phase I for Diastolic Heart Failure (HFpEF). According to GlobalData, Phase I drugs for Diastolic Heart Failure (HFpEF) does not have sufficient historical data to build an indication benchmark PTSR for Phase I. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the Aficamten LoA Report. Buy the report here.

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.

Aficamten overview

Aficamten is under development for the treatment of obstructive hypertrophic cardiomyopathy (oHCM), non-obstructive hypertrophic cardiomyopathy (nHCM), heart failure with reserved ejection fraction (HFpEF). It is a new molecular entity administered through oral route. The drug candidates are cardiac muscle activators which act by targeting myosin.

Cytokinetics overview

Cytokinetics is a biopharmaceutical company with a focus on the discovery, development, and commercialization of muscle activators and muscle inhibitors as potential treatments for debilitating diseases wherein muscle performance is affected. The company develops small molecule drug candidates which is designed to affect muscle function and contractility. Cytokinetics is developing aficamten, a next-generation cardiac myosin inhibitor, to treat hypertrophic cardiomyopathy (HCM). It is also developing Muscle biology-directed research, neuromuscular, cardiac myosin activator and additional skeletal muscle activators. Cytokinetics is headquartered in South San Francisco, California, the US.

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

This content was updated on 16 July 2024

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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.