Search results for "modeling"
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Single-Domain Antibodies for Brain Targeting
Single-domain antibodies are emerging as credible alternatives due to their target specificity, high affinity, and cost-effective recombinant production.
Smaller recombinant antibody fragments a…
Article
Regulatory Challenges in the QbD Paradigm
The authors demonstrate how an integrated model is helping to achieve regulatory flexibility. This article is part of a special section on biopharmaceutical trends.
With the dawn of the 2…
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QbD and PAT in Upstream and Downstream Processing
To gain perspective on the implementation of quality by design (QbD) and process analytical technology (PAT) in biopharmaceutical processing, BioPharm International spoke with Clinton Weber, as…
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Addressing the Challenges in Downstream Processing Today and Tomorrow
Newer classes of biotherapies will require innovations in processing technology.
By Glen R. Bolton, Bernard N. Violand, Richard S. Wright, Shujun Sun, Khurram M. Sunasara, Kathleen Watson, Johna…
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In silico optimization of AAV full/empty particle separation with AIEX
Mechanistic modeling is the tool of choice to find the optimal AIEX chromatography method.
We present a guiding workflow showcasing in silico process optimization of full and empty AAV5 particle se…
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Top Tips for Successful Development of Antibody Chromatography Processes
And to really increase your learning, you can also work with mechanistic modeling. In a mathematical way, this describes how different components or different substances behave inside the column. This…
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HTPD 2023 conference is coming up. What will be discussed and what happened last time?
The sessions guided by Cytiva modeling specialists will cover an introduction to the topic, benefits, and basic workflows of in silico process development and a deep dive into case studies and further…
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Digitalized PD: Speeding up downstream process development
Mechanistic models enable the simulation of chromatography processes based on fundamental natural laws, such as fluid dynamics and thermodynamics. In silico simulations of chromatography proce…
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Top Process Development Trends for 2022 and a Look into 2023
Mechanistic modeling is a mathematical representation of the physiochemical transport and interactions that occur during chromatography, and can be applied for mAbs process development, but also advan…
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Simulating chromatography processes in the growing molecular diversity
Mechanistic modeling can play a key role in overcoming these challenges as they are not limited to a certain class of biomolecules but are broadly applicable. Depending on the specific molecule and th…