Biopharmaceutical products are often produced in Chinese hamster ovary (CHO) cell cultures, which release retrovirus-like particles and are vulnerable to infections by adventitious viruses. Therefore, it is a regulatory requirement that downstream purification steps for biopharmaceuticals can remove viruses from feedstocks. In his article “Mechanistic modeling of minute virus of mice surrogate removal by anion exchange chromatography in micro scale”, published in Journal of Chromatography A, Lukas Döring, our Doctoral Researcher Process Science – in collaboration with Johannes Winderl, our Process Manager Process Science, Matthias Kron, our Senior Director Process Science Downstream of Rentschler Biopharma and Professor Jürgen Hubbuch from the Karlsruhe Institute of Technology – discusses how the virus clearance of a MVM mock virus particle by Q Sepharose FF resin can be accurately described by mechanistic modeling.
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Impact of Fed-Batch Process Intensification on the Productivity and Product Quality of Two CHO Cell Lines Expressing Unique Novel Molecular Format Proteins Novel molecular format (NMF) proteins, such as bispecific antibodies (BsAbs), are structures capable of multispecific binding, allowing for expanded therapeutic functionality. In this study, the impact of a high inoculation density (HID) fed-batch process on the productivity and product quality attributes of two CHO cell lines expressing unique NMFs, a monospecific antibody with an Fc-fusion protein and a bispecific antibody, compared to low inoculation density (LID) platform fed-batch processes was evaluated. It was observed that an intensified platform fed-batch process increased product concentrations by 33 and 109% for the two uniquely structured complex proteins in a shorter culture duration while maintaining similar product quality attributes to traditional fed-batch processes. https://lnkd.in/g6zkKNAK #aspenalert #biotech #bioprocess
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We are pleased to announce the publication of our latest research in American Chemical Society's Journal of Medicinal Chemistry, "A Target Class Ligandability Evaluation of WD40 Repeat-Containing Proteins," where we used DNA-encoded chemical libraries (DEL) combined with machine learning (DEL-ML) to predict and identify drug-like ligands. Through a pilot hit-finding campaign, we successfully identified first-in-class ligands for 7 out of 16 WDR domains screened, demonstrating the broader ligandability of this protein family and the power of DEL-ML in accelerating drug discovery. Read more: https://lnkd.in/euEXjGN4 We would like to extend our thanks to our collaborators for their contributions to the research: The Structural Genomics Consortium (SGC), Princess Margaret Cancer Centre, University of Toronto, York University, Relay Therapeutics, Google, Civetta Therapeutics #drugdiscovery #DEL #machinelearning #medchem #WD40repeat #biotech #biopharma #pharmaceuticals #innovation #collaboration
A Target Class Ligandability Evaluation of WD40 Repeat-Containing Proteins | X-Chem
https://www.x-chemrx.com
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Analytical characterization of the antibody drug conjugate ( ADC ) Enhertu using multi-capillary electrophoresis.
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Interested? Then read the article and download the accompanying poster here: https://www.rentschler-biopharma.com/en-us/news-events/experts-insights-en/article-mechanistic-modeling-of-minute-virus-of-mice-surrogate-removal-by-anion-exchange-chromatography-in-micro-scale