Viroksavir is under clinical development by Traws Pharma and currently in Phase I for Pandemic Influenza. According to GlobalData, Phase I drugs for Pandemic Influenza 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 Viroksavir 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.

Viroksavir overview

Viroksavir is under development for the treatment of pandemic influenza, seasonal influenza, haemophilus influenzae type A infections, haemophilus influenzae type B infections. It acts by targeting cap-independent endonuclease.

Traws Pharma overview

Onconova Therapeutics (Onconova) is a biopharmaceutical company that discovers and develops small molecule drug candidates for the treatment of cancer. The company’s drug candidates include rigosertib and ON123300. It develops drug candidates that target cancer and protect healthy cells based on its proprietary chemistry platform and cell-based differential screening. Onconova’s rigosertib is targeted at meeting the medical needs of patients with myelodysplastic syndromes. The company’s recilisib is used to treat the effects of acute radiation syndromes such as cytopenia. It partnered with biopharmaceutical companies and medical organizations in the US. Onconova is headquartered in Newtown, Pennsylvania, the US.

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

This content was updated on 20 May 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.