Advancing the Manufacturing of Biological Therapeutics and Vaccines
A special issue of Biology (ISSN 2079-7737).
Deadline for manuscript submissions: closed (15 December 2020) | Viewed by 8315
Special Issue Editors
Interests: Process Analytical Technology (PAT) and Quality by Design (QbD); experimental design and multivariate data analysis; bigdata analytics; systems biology; pharmacometrics; pharmaceutical process modeling and simulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Biological therapies are under rapid development and show paramount importance in human health and public health at this time of a worldwide pandemic. Monoclonal antibody, cell therapy, gene therapy, and vaccine are among the therapy that have rapidly developed in recent years, witnessing thousands of molecules entering clinical trials. These biologics have various forms, including recombinant proteins, viral vector, RNA, and many other modalities.
Manufacturing processes of these biologics need process engineering, which involves production in a biosystem, purification by physicochemical properties, and analytics that help to understand processes and products. Biomanufacturing processes are challenged by an unmet need to improve process efficiency and control of product quality. Common problems include scale-up, process and product variabilities, suboptimal yields, difficult development, and insufficient process understanding. The key to advancing biomanufacturing is through fundamental studies and innovative technology development.
This Special Issue welcomes the submission of original research and review manuscripts focusing on advancing the manufacturing of biologics with the opportunity to use a range of science and engineering approaches, including systems and synthetic biology, biochemistry, molecular biology, omics, statistical analysis, machine learning, computational biology, mechanical engineering, and many others.
Prof. Dr. Seongkyu Yoon
Dr. Sha Sha
Guest Editors
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Keywords
- Biological therapy
- Biomanufacturing
- Product quality
- Process control
- Systems biology
- Computation
- Sensing technology
- Statistical analysis
- Machine learning
- Biological engineering
- Biochemistry
- Mechanical engineering
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