VQW-765 is under clinical development by Vanda Pharmaceuticals and currently in Phase II for Social Anxiety Disorder (SAD/Social Phobia). According to GlobalData, Phase II drugs for Social Anxiety Disorder (SAD/Social Phobia) does not have sufficient historical data to build an indication benchmark PTSR for Phase II. GlobalData uses proprietary data and analytics to create drugs-specific PTSR and LoA in the VQW-765 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.
VQW-765 overview
VQW-765 (AQW-051) is under development for the treatment of social and performance anxiety. The drug candidate is administered orally as capsule. It is an alpha 7 nAChR agonist.
It was under development for the treatment of cognitive impairment associated with schizophrenia (CIAS) and Alzheimer's disease, amnestic mild cognitive impairment and L-dopa induced dyskinesia.
Vanda Pharmaceuticals overview
Vanda Pharmaceuticals (Vanda) a biopharmaceutical company that develops and commercializes novel therapies for the treatment of central nervous system disorders. The company’s products include Hetlioz, a melatonin receptor agonist for the treatment of non-24-hour sleep-wake disorder; and Fanapt, a typical antipsychotic for the treatment of schizophrenia in adults. The company’s major pipeline products include Tradipitant (VLY-686), VTR-297, VQW-765, CFTR and portfolio of cystic fibrosis transmembrane conductance regulator inhibitors and activators. Vanda is headquartered in Washington, Washington DC, the US.
For a complete picture of VQW-765’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.
