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The Data-Driven Future of Drug Development

DrugBank

Data science has emerged as an innovative tool in the biopharmaceutical industry, leveraging the power of machine learning and artificial intelligence to drive innovation and efficiency across the entire drug development lifecycle. These complex molecules require precise engineering to ensure optimal efficacy and safety.

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Obstacles and innovations of macrocyclic drug development

Drug Target Review

11 Macrocycles can also be engineered in other ways to become more cell permeable; for example, by incorporating N-methyl groups in macrocyclic peptides. 8 Furthermore, oral bioavailability is not always essential; for example, in disease areas such as cancer, intravenous administration of drugs is common. Springer, 2019.