How to configure registration systems for large molecule R&D
From plasmids, to cell lines, to viral vectors, large molecule R&D involves many entities and parameters that have to be digitally modeled and interlinked.
Without a robust registration system that’s configured to track and interlink all of these pieces, you end up with data that’s inaccurate, redundant, or insufficient. But if you configure your Bioregistration system properly, you can answer pretty much any question about your large molecules. With these answers at your fingertips, you can drive research decisions with data and results that are reliable and comprehensive.
The complexity of the entities and interlinkages of large molecule R&D far surpass that of small molecule R&D. And with so many large molecule R&D processes still in flux, it can hard to know where to start. Benchling has put together four guides on how to structure foundational registration systems:
How to configure a registration system for antibody discovery
How to configure a registration system for TCR and CAR T R&D
How to configure a registration system for strain engineering and fermentation
Coming up with a final data model for your R&D ultimately depends on your particular research needs, but these guides can serve as starting-points for your own large molecule registration system.
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