Gavorestat is under clinical development by Applied Therapeutics and currently in Pre-Registration for Galactosemia. According to GlobalData, Pre-Registration drugs for Galactosemia does not have sufficient historical data to build an indication benchmark PTSR for Pre-Registration. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the Gavorestat LoA Report. 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.

Gavorestat overview

Govorestat (AT-007) is under development for the treatment of galactosemia in both adult and pediatric patients, Charcot-Marie-tooth disease, sorbitol dehydrogenase deficiency (SORD Deficiency) and PMM2-CDG, formerly known as congenital disorder of glycosylation type 1a. The drug candidate is administered through oral route in the form of suspension. It acts by targeting aldose reductase.

Applied Therapeutics overview

Applied Therapeutics is a clinical-stage biopharmaceutical company that discovers and develops transformative drugs in areas of Galactosemia and Diabetic Cardiomyopathy (DbCM). The company product pipeline includes include AT-001 a novel aldose reductase inhibitor, AT-007 a SORD Deficiency, AT-001 a Diabetic Peripheral Neuropathy. Applied Therapeutics also develops preclinical pipeline product AT-003, an ARI designed for the treatment of diabetic retinopathy and AT-104 a PI3K inhibitor for treating orphan hematological oncology T Cell Acute Lymphoblastic Leukaemia. It serves customers throughout the US. Applied Therapeutics is headquartered in New York, the US.

For a complete picture of Gavorestat’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.