Chapter 12. Computer-Aided Biopharmaceutical Characterization
Synopsis
Author
Mr. Gourab Saha
Assistant Professor, Department of Pharmaceutics, College of Pharmaceutical Sciences, Berhampur, Mohada, Odisha, India
Abstract
Computer-aided biopharmaceutical characterization combines advanced computational methods with analytical techniques to understand and optimize biological drug development. Modern software platforms analyze complex molecular structures, predict protein-ligand interactions, and simulate drug behavior in biological systems. High-throughput screening methods integrated with machine learning algorithms accelerate the identification of potential drug candidates while reducing experimental costs. Advanced computational tools evaluate protein stability, aggregation tendencies, and immunogenicity risks, enabling better decision-making in drug development processes. Molecular dynamics simulations provide detailed insights into protein structure-function relationships and help optimize drug formulations. Automated data analysis systems process large-scale analytical data from various characterization techniques, including mass spectrometry, chromatography, and spectroscopy. The integration of computational tools with laboratory automation has revolutionized how biopharmaceuticals are developed, characterized, and manufactured, leading to more efficient and cost-effective drug development processes.
Keywords: Apothecary, Drug discovery, Professional evolution, Healthcare, Pharmaceutical science, Clinical pharmacy
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