However, recent studies have also identified complex physical interactions between PARP-1, PARG, and other nuclear proteins [34], [35], and these findings raise the alternative possibilities that reduced nuclear PARG protein could influence PARP-1 activity by through these or other, more indirect interactions.
However, many more indirect interactions arise.
This is important because some cellular functions may involve a single direct protein interaction (small scale), whereas others require more and/or indirect interactions, such as protein complexes (medium scale) and interactions between large modules of proteins (large scale).
Seeing interaction as strategies and acknowledging the existence of complex interdependencies could potentially inspire the design of more indirect and non-dyadic interactions where a priori simplifications of design challenges as either human or animal can be avoided.
In communities with more than two species, indirect interactions can obscure direct interactions (Wootton, 2002).
In this respect we note that Dichaete binds in the minor groove of DNA, perhaps making it more likely to capture indirect interactions.
This observation may reflect the fact that expression regulation interactions reported in these databases are more likely to be indirect interactions mediated by other genes and gene products than are phosphorylation interactions.
Other methods are emerging to distinguish direct and indirect interactions more easily and efficiently to generate networks in a single step, and where interactions occur within complex feedback loops.
Some are direct, such as interactions via transcription factors (TF), while others are more indirect such as protein-protein interactions [ 1- 3].
One important aspect when analyzing complex networks is to being able to distinguish and assess direct from indirect interactions (even more, with regards to local interaction levels that may shape the large scale structure and the functional features of such networks).
Because virtual machines (VM) are running in a layer independent of their host, it becomes more tedious to detect direct and indirect interactions between tasks happening inside a VM, on the host, inside a container, or even on nested or parallel VMs.
