Molecular Modeling and Data Science for De-risking and Costsaving of Pharmaceutical Development
Enabling-Technology-Molecular-Modeling-and-Data-Science-for-De-risking-and-Cost-saving-of-Pharmaceutical-Development.pdf – 558.24 KB
Enabling-Technology-Molecular-Modeling-and-Data-Science-for-De-risking-and-Cost-saving-of-Pharmaceutical-Development.pdf – 558.24 KB
With advances in computational materials science and process simulation, computational applications are becoming an integral part of the drug development and manufacturing workflow.1,2 These methods facilitate easier navigation through the complex multidimensional space of pharmaceutical process development tasks. By combining computational and experimental approaches, pharmaceutical development can be de-risked and lead to significant time and cost savings.