Sentence examples for a core constraint from inspiring English sources

An ACL profile is composed of a core constraint language, which is shared with the other profiles, and a MOF architecture metamodel.

The higher Sbalanced scores for both CORAL methods over the other methods suggest that the core constraint played a significant role in improving performance for several families.

The optimization method features: (1) employing the block coordinate descent method to find the optimal solution in the space of enrichment difference parameters, (2) using scoping libraries to reduce the amount of CASMO-4 calculation, and (3) integrating a core critical constraint into the objective function that is used to quantify the quality of an axial enrichment design.

COMPASS is a high-performance implementation of the standard sum-of-scores optimal local alignment and its comparison with CORAL implies a lower bound in improvement that can be attributed to the core constraint.

The core constraint may be incorporated into other alignment algorithms as well.

For some families, including Macro and PDZ, all members benefited from the core constraint.

Constructing high-quality alignments between well-defined core regions, in contrast, benefits tremendously from the core constraint.

The clear shortcoming of the core constraint is that at some level of divergence, core regions cannot be aligned correctly without insertions or deletions, hence methods without the core constraint are more suited to remote homolog recognition and alignment.

To better capture this property, we propose a method CORAL (CORe ALigner) to align core regions from two protein families without indels within blocks, which we will refer to as the core constraint.

The core constraint exploits relationships between profile columns, prohibiting insertions or deletions within blocks, rather than pursuing improvements through refinement of the column scoring function.

Although the core constraint reduces the space of possible alignment solutions, it does not necessarily constrain the alignment to only one good solution.