©2021 NanoTemper Technologies, Inc. South San Francisco, CA, USA. All Rights Reserved.
8
APPLICATION NOTE
To further validate the use of the scatting data from the EAP Panta, researchers examined
if the ranking of candidates was consistent for a different Fc-fusion construct. Figure
6 shows that for all sample types and buffer formulations the trends were the same,
enabling the EAP Panta to be used for candidate profiling for scalability
1
. Further
refinement of the SLS optics and algorithm will enable true SLS measurements in future
Panta devices.
Together, these results demonstrate the importance of monitoring self-interaction
of candidate protein molecules for better long-term success in the development of
biologics
1
.
Conclusions
Protein-protein interactions are a crucial aspect for the ultimate success of a protein-
based therapeutic. Accurate predictive models of high-concentration behavior of biologic
therapeutics are needed to improve candidate outcomes and market success. Current
140.00
90.00
40.00
-10.00
-60.00
-110.00
Panta
Plate reader
Microcuvette
Histidine 5.5
Histidine 5.5 +
8% Trehalose
Histidine 7.0 +
8% Trehalose Histidine 7.0
Fc-fusion SLS deviation from linearity (%)
Deviation
from
linearity
(%)
Figure 6: Systems that demonstrate a
negative deviation from linearity via light
scattering measurements are considered
better candidates than those that exhibit
positive deviation. The evaluated rankings
of a bispecific Fc-fusion for each formulation
are the same for all three instruments
1
.
