Abstract
The development of selective modulators of exchange protein activated by cAMP (EPAC1/RAPGEF3), which preferentially bind its cAMP-binding site, would pave
the way for novel therapeutic interventions in cardiac, metabolic, inflammatory, and oncologic disorders. Here we have applied a computational workflow using Markov
State Models (MSMs) and steered molecular dynamics (sMD) to probe the allosteric activation of EPAC1 by both cAMP and pharmaceutical hit compound I942. sMD
was used to examine the large-scale domain rearrangement EPAC1 undergoes during activation. Intermediate conformations accessed via sMD were then used as starting points for equilibrium MD simulations, which were pooled for the construction of MSMs. The resulting models capture the activation of wild-type (WT) EPAC1
by cAMP, and provide an explanation for the lack of response to cAMP shown by the L273W point mutant. sMD/MSM modelling also elucidated the structural basis
for partial activation of EPAC1 by ligand I942 and revealed the crucial contribution of ligand interactions with EPAC1’s catalytic region to achieve full activation. The mechanistic
insights from this study suggest a design strategy to guide the development of potent small-molecule EPAC1 activators.
Supplementary materials
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Supporting Information
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Supporting Information for the study
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Supplementary weblinks
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AMMO Software
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Link to AMMO Software repository that includes inputs and instructions to reproduce the findings from this study
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EPAC ensembles
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The conformational ensembles for EPAC1 in each of the seven studied systems. Zip archives each contain 10k PDB files, weighted by the conformational stationary probabilities derived from the relevant Markov State Model. Code used to generate data can be found at https://github.com/michellab/AMMo.
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