Sentence examples for property pattern from inspiring English sources

Author response: Our previous predictor developments have always been described in a pair of papers – one for the analysis of the property pattern near the modification site, another for the description and validation of the predictor.

Author response: The equations described in the Methods section "Sequence analysis part 2. Derivation of physical property characteristics" are used to filter the physical property pattern (see first three sections of the Results) prior to predictor development.

Mean values and standard deviations (equations 2, 3 and 4) as well as property correlations (equations 5 and 6) and F-tests (equation 7) have been routinely used in the derivation of the physical property pattern surrounding the phosphorylation sites (see first three sections of Results).

The whole work consist of two major parts – first, the derivation of the property pattern that characterizes sequence segments with PKA phosphorylation sites and, second, the development and the validation of a prediction tool for the recognition of PKA phosphorylation sites in query sequences.

On this poster, retrospective examples are presented, for which the workflow retrieves the expected scaffolds with similar electronic property patterns.

This paper illustrates how a collection of property patterns, and its tool support, can help in simplifying the process of generating logical formulae from informally expressed requirements.

It is plausible that these differences in cell envelope structure would present differential barriers to penetration that would be reflected in divergent physicochemical property patterns for drugs effective against the two classes.

This paper presents a method for the production of data-driven designed tags (DDTs) based on highly frequent sequence property patterns in an experimentally assessed protein solubility dataset in a wheat germ cell-free system.

We observe that there is only low cross-family correspondence of the property patterns, again suggesting family specificity of the flanking regions.

On the other hand, the information on pauses properties patterns can significantly enrich high-level information of speech signal.

Table 1 shows that the stronger the emergence, the less predictable are the emergent properties, patterns, and structures.