The complete set of interactions of a certain type within the cell (e.g. PPIs) can be modelled as a network G= V, E), where entities, such as proteins, are nodes (vertices) V={ v1,…, v N } and their associations are undirected edges.
The sensitivity of autoparametric interaction to a certain excitation level is mainly dependent upon the system dynamic properties.
This shrinkage was observed to cause the composite flexural stiffness to degenerate to the value calculated with no shear interaction for a certain range of loading.
Specifically, let the maximum number of interactions for a certain organism and interaction type that can be common to a particular database pair before and after filtering be denoted by Mb i and Ma i respectively, where i is an index to denote the database pair.
As an application, we show that the direct interaction realization of a certain coherent quantum control architecture is very useful for design and optimization.
The solvent determines the average molecular structures and possible interconversions between different conformations, thus defining the average pairwise interactions characteristic of a certain ensemble of states.
As a result, the potential contribution of rare variation and different types of interactions notwithstanding, a certain proportion of the missing heritability is likely to be explained by the additive contribution of a large number of small-effect common variants, which are yet to be identified.
Physiologically based (PB) pharmacokinetic (PK) models use in vitro data on drug kinetics in combination with anatomical measurements and physiological parameters to quantify physiological processes and the interaction of a molecule with certain physicochemical properties with this system.
In the present work, we assert that coexpression correlation may describe only the possible coregulated relationships of proteins, while existence of a specific interaction at a certain time point would depend on the activities of the two associated proteins.
Rabbits' brains aren't sufficiently complex to allow for apologizing, a social-emotional interaction takes a certain amount of cognitive evolution.
