In contrast to being forced into a rigid crystal lattice, cryo-EM samples are flash-frozen in a myriad of naturally occurring states. With ATEM’s increasingly efficient data recording- and processing platform, we deliver distinct dynamic states of protein targets in increasingly high resolution.
Selecting lead candidates against a static structural state may be ineffective. Focus your computational screening campaigns on empirically determined structural states of your protein in order to maximize hit rates.
Gain high-resolution insights into how your most promising lead candidates interact with the biochemical mechanics of your protein. Interpret distinct changes in dynamic complexes during ligand-binding to characterize, probe, and optimize your drug candidates.
ATEM continues working on
expanding our understanding
of protein dynamics. By utilizing the power of experimental machine learning
technology, we work on methods allowing continuous views of movements.
