The phrase "alignment of interaction" is correct and usable in written English.
It can be used in contexts discussing the coordination or agreement between different interactions, such as in communication, technology, or social dynamics.
Example: "The alignment of interaction between team members is crucial for the success of the project."
Alternatives: "synchronization of engagement" or "coordination of communication".
Based on these observations, we present DOMAIN, an algorithm for domain-oriented alignment of interaction networks, that follows an alternative direct-edge-alignment paradigm.
Here, we describe a Cytoscape app based on GASOLINE (Greedy And Stochastic algorithm for Optimal Local alignment of Interaction NEtworks), a greedy and stochastic algorithm for multiple local alignment of PPI networks, introduced in.
Based on the holistic perspective of 'alignment', evaluating the alignment of human computer interaction is crucial to ensure effective information system implementation and a positive impact on performance.
Motivation: The global alignment of protein interaction networks is a widely studied problem.
We have presented an algorithm, PISwap, for refining an arbitrary global alignment of protein interaction networks while maintaining its FC.
We propose a novel tool, PISwap, based on local optimization, for computing pairwise global alignment of protein interaction networks.
For this pair, we present the sequence alignment of the interaction based on the crystal structure, although in most cases we present a probable alignment based on electrostatic complementary at e– g′ positions and other specificity determinants such Asn-Asn pairing at a-a′ positions (primes indicate a position on the opposite helix).
Alignments of protein interaction networks can be broadly classified into two categories: local and global alignments.
Based on the above discussion, the 3-Opt technique performs a better refinement of global alignments of protein interaction networks, with only minimal time cost relative to the expensive initial alignment step.
Results: We propose a novel algorithm, PISwap, for optimizing global pairwise alignments of protein interaction networks, based on a local optimization heuristic that has previously demonstrated its effectiveness for a variety of other intractable problems.
The uncertainty in the alignment of miRNA:mRNA interaction was measured using Shannon entropy.
