The production of biopharmaceutical drugs typically involves a biological expression within a bacterial, yeast, or mammalian cell expansion system. Getting to the final product requires multiple purification steps, from primary clarification to the final formulation and sterile filtration. The aim of the initial purification steps is not to purify the stream perfectly but rather, to prepare the stream for finer and more specific purification steps further downstream. Apart from efficiently removing contaminants, the clarification stages also need to maintain high product recovery whilst being consistent and robust.
Category: <span>Bioinformatics</span>
Biopharmaceutical manufacturing will continue to be increasingly challenging as medical knowledge and understanding rapidly advance. Many new therapies and products will utilize cellular, viral, genetic, and epigenetic approaches along with a repertoire of increasingly complex proteins targeting a rapidly increasing inventory of newly discovered biomarkers. Manufacturing these products efficiently, consistently, and reliably will require sophisticated manufacturing approaches, methods, and controls. In addition, growing patient, societal, and even regulatory pressures demand that new therapeutics be developed and manufactured quickly, reliably, and efficiently.
Biopharmaceutical manufacturing will continue to be increasingly challenging as medical knowledge and understanding rapidly advance. Many new therapies and products will utilize cellular, viral, genetic, and epigenetic approaches along with a repertoire of increasingly complex proteins targeting a rapidly increasing inventory of newly discovered biomarkers. Manufacturing these products efficiently, consistently, and reliably will require sophisticated manufacturing approaches, methods, and controls. In addition, growing patient, societal, and even regulatory pressures demand that new therapeutics be developed and manufactured quickly, reliably, and efficiently. Historically, manufacturing has been viewed and managed in terms of minimizing patient safety risks.
Traditionally, the Six Sigma framework has underpinned quality improvement and assurance in biopharmaceutical manufacturing process management. This paper proposes a neural network (NN) approach to vaccine yield classification and compares it to an existing multiple linear regression approach. As part of the Six Sigma process, this paper shows how a data mining framework can be used to extract further value and insight from the data gathered during the manufacturing process, and how insights into yield classification can be used in the quality improvement process.
Plaque assays have traditionally been a reliable way to determine the titer of a lytic virus. However, this method has several shortcomings in that it is time-consuming, labor intensive, and suffers from limited sensitivity. In this article, we describe a novel flow cytometry-based titration assay to quantify green fluorescent protein-labeled herpes simplex virus type 1 (HSV-1-GFP). Using this assay, we were able to directly quantify ten-fold dilutions of the virus in which every GFP-positive cell could be counted. In a head-to-head comparison with a traditional plaque assay, the flow cytometry assay showed a greater linear range and was accomplished in less than half the time of the plaque assay.
As scientific research has become more sophisticated, the field of bioinformatics — where computer technology and biology meet — has become increasingly critical to our understanding of the natural world. Entire databases of biological data are Âcreated, indexed, organized, and analyzed, requiring sophisticated and robust tools. Bioinformatics often make use of mathematical computations, Âalgorithms, artificial intelligence, modeling, and other complex applications…