Meplazumab is under clinical development by Jiangsu Pacific Meinuoke Bio-Pharmarceutical and currently in Phase II for Malaria. According to GlobalData, Phase II drugs for Malaria have a 50% phase transition success rate (PTSR) indication benchmark for progressing into Phase III. GlobalData’s report assesses how Meplazumab’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. 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.

Meplazumab overview

Meplazumab is under development for the treatment of malaria and Coronavirus disease 2019 (COVID-19), post covid-19 and coronavirus disease 2019 (covid-19) pneumonia. Meplazumab, is a humanized immunoglobulin (Ig) G2 monoclonal antibody, consisting of the complementary-determining regions of anti CD147 murine antibody and the human framework region. It is administered through intravenous route. The therapeutic candidate acts by targeting extracellular matrix metalloproteinase inducer (EMMPRIN) or CD147.

Jiangsu Pacific Meinuoke Bio-Pharmarceutical overview

Jiangsu Pacific Meinuoke Bio-Pharmarceutical (Pacific Meinuoke) focuses on the development of novel biopharmaceuticals for addressing the unmet medical needs of patients with cancer and infectious diseases. Pacific Meinuoke is headquartered in Changzhou City, China.

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

This content was updated on 10 June 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.