200’S Series Novel Combinations (Dopamine Pathway) is under clinical development by Alto Neuroscience and currently in Phase I for Neurodegenerative Diseases. According to GlobalData, Phase I drugs for Neurodegenerative Diseases have a 66% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how 200’S Series Novel Combinations (Dopamine Pathway)’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.

200’S Series Novel Combinations (Dopamine Pathway) overview

The drug candidates are under development for the treatment of neuropsychiatric diseases and neurodegenerative diseases.

Alto Neuroscience overview

Alto Neuroscience is a biopharmaceutical company that develops drugs for psychiatric and mental health conditions. It is investigating ALTO-100, ALTO-202, and ALTO-300 drugs for the treatment of major depressive disorder (MDD) and post-traumatic stress disorder (PTSD) by targeting cognition, emotion and sleep systems. The company utilizes its AI-enabled drug development platform that identifies biomarkers by evaluating brain function measures to develop its product candidates. Alto Neuroscience is headquartered in Los Altos, California, the US.

For a complete picture of 200’S Series Novel Combinations (Dopamine Pathway)’s drug-specific PTSR and LoA scores, buy the report here.

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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.