The ideal developability screen gives you a single
candidate to progress through your pipeline.
Choosing the wrong candidate from a starting
library of hundreds to thousands or having too
many candidates le over a er screening means
spending more time and money on finding a
better option.
Biologics candidates are selected using a
number of biophysical parameters, but the most
common parameter to predict developability
early in the pipeline is thermal stability.
Candidates are triaged based on
thermal unfolding profiles, which provide
melting temperatures (T
m
s). T
m
s are ranked to
find the most thermostable candidate, which will
have the highest T
m
.
High-resolution, high-precision thermal
unfolding data is required to find even the
most subtle differences between candidates
