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.

Amino Acid Metabolism Disorders overview

Amino acids are building blocks of proteins and enzymes. Metabolism of amino acids results in energy production and other mechanisms. Any disturbance in this pattern results in metabolic disorders. These are a group of inherited diseases. Amino acid metabolic disorders include Phenylketonuria, maple syrup urine disease, citrullinemia (CIT), ornithine Transcarbamylase deficiency, and argininosuccinate lyase (ASL) deficiency. All these conditions are genetically inherited autosomal /X-linked recessive. Diagnosis is done by lab examination of urine, blood analysis, and biochemistry reports. Low protein diet is recommended and in severe cases liver transplant is the option.

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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.