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Thus, a common biochemical framework can be tuned to generate different system behaviors.
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However, precisely because these biochemical states are unspecified, this general framework can be applied not only to kinesin but also to other processive, two-headed motors that may couple mechanical and biochemical states differently (Block, 2007; Gennerich and Vale, 2009; Kull and Endow, 2013; Cleary et al., 2014).
We point out that our model learning framework can be applied in both the context of computational systems biology for biochemical system identification and synthetic biology for the modular design of desired biochemical systems.
Upgrading your framework can be a real pain.
This self-imposed limited framework can be damaging.
Finally, this framework can be easily extended to other species.
Results suggested the adapted conceptual framework can be modified.
First, this framework can be utilized when designing a project.
This framework can be extended easily to other complex diseases.
The proposed framework can be generalized to handle various contexts.
Finally, methodological weaknesses of the framework can be assessed.
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