Poster
Benchmarking plate and donor effects for compound similarity
October 31, 2023
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6 minutes
Scientists at Spring have identified 7+ inflammasome inhibition targets that can be advanced in clinical programs whose pathologies are most relevant to the targets and their mechanisms of action.
One of the key technologies that powered this effort is a method to computationally score the phenotypic similarity between compounds.
This analytical method can be applied to compound screening data and used as a filter to identify compounds that have true and consistent signals above experimental confounders. Similarity scoring from a filtered set of compounds can then be used to validate compound classes, to identify novel compounds with high similarity to known controls, or to create compound similarity classes that can be investigated for common mechanisms of action. This approach is agnostic to other biological readouts and can be used as a complementary and unbiased tool to identify and validate compound hits.
We presented here a method to assess the impact of compound behavior in the context of inherent sources of experimental variability such as independent donors, plates, wells, and execution dates.
Importantly, this kind of analysis allows us to assign a measurement to the true signal of compounds over experimental noise so we can accurately gauge compound consistency (how similar a compound is to itself across experimental variables), and compound similarity to other molecules (how similar a compound is to other compounds) in an unbiased manne
Adi Prakash*, Rachel Jacobson*, Francesco Rubbo, William Van Trump, Lauren Nicolaisen, Daniel Chen, Tempest Plott, Elisa Cambronero, Dat Nguyen, Christian Elabd, Ben Komalo
*denotes shared first author