PR.Stability Analysis software offers a great new feature—Percent Similarity— that is used to analyze how your formulations and preparations compare to earlier experiments. It enables you to get quantifiable data that compares an experimental run to a reference. Whether you’re creating new buffer formulations, developing biosimilars, or comparing mutants of a protein of interest, Percent Similarity is a fast and easy way to evaluate how your changes have affected unfolding compared to your reference sample. Welcome to the next installment of Application Academy: using Percent Similarity.
PR.Stability Analysis offers a great feature to dramatically reduce the amount of time you spend processing...
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The decisions you make about your biologics candidates early in the pipeline ultimately affect their success as therapeutics. Combine sizing and stability information to develop successful biologics
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Data analysis is a challenging process—researchers have mountains of data to go through—and expediting analysis with automated software solutions is a crucial tool to save you time and effort. However
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Anyone who has ever worked in a lab has heard the same refrain in some context or another – “We need more data!" No matter how many experiments you do, it feels like reviewers, regulators, or even you
Working with difficult targets like GPCRs and other membrane proteins? Because they live in the cell membrane, are hydrophobic and insoluble, have low expression levels, and require particular deter
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In this short video, you will learn: -How labs are able to measure binding affinity in complex systems -Why it's important to look at binding affinity in complex bioliquids or in vivo -How to study mo
Learn about Professor Sebastian Springer’s research on MHC class I molecules. He’s a professor of Biochemistry and Cell Biology at Jacobs University. He received NanoTemper Technologies’ first ever Ex
One of the challenges many scientists face is how to best present their data. No matter how stunning and ground-breaking your conclusions are, you’re not going to convince anyone your hypothesis holds