For some reason, work on the explicit formalization of context hasn't been actively pursued by the computational community beyond this point.
We expect that these tools are going to be even more useful for the computational community in the future, as they are distributed as part of the open-source software AiiDA and therefore freely available as well as extendable.
Many of the proposed formalisms, such as Petri nets or process algebras, were originally created by the computational community for the specification of software systems, where the final system has to comply to the model.
In an effort to properly assess the conformational preferences and equilibria of model systems simulated under the various force fields in use by the computational community, we thus set out to systematically study contemporary potentials in their application to one of the most ubiquitous and fundamental of protein substructures: the α-helix [1], [7], [8], [9].
However, NMR is still a new field to the computational community.
The challenge of identifying new drug target pairs in silico has attracted significant interest from the computational community.
This represents a challenge for the computational community of working to promote not just the development, but also the adoption of these more advanced methods.
In recent years, the computational community has played an influential role in the field of genomics by contributing many valuable computational methods that facilitate discovery of biological information from high-throughput data.
It is a typical example of a translational and distributed research project, which has prompted the need for a computational, community-based approach to manage a wide range of heterogeneous information.
I would suggest that the claim about "designing model selection approach" is toned done, as the authors themselves state in the response letter that "we do not claim to provide any notable advances in this paper for the computational community".
That said, we do not claim to provide any notable advances in this paper for the computational community, but rather aim the manuscript at genomics-enabled biologists with no extended statistical knowledge.
