Sentence examples for predictions can identify from inspiring English sources

Using this method, we show that comparison of manually assigned 'unknown' annotations in the Saccharomyces Genome Database (SGD) with InterPro-based predictions can identify annotations that need to be updated.

Such a prediction can identify the time periods, path regions, and sections of high frequency bands that will allow or disrupt the use of the selected high frequency communication circuit.

The results show how structure-based prediction can identify potential peptide epitopes without known binding motifs and suggest that side chain orientation in binding peptides may be obtained using PePSSI.

The data indicates that SDP prediction can identify functionally important residues that are likely involved in the determination of specificity.

The disorder prediction can identify the protein character of the docking site, allowing the conditions of the protein-ligand interaction to be discussed.

A surface prediction algorithm can identify minimotifs likely to be on the surface of a protein.

Although gene prediction software can identify loci that encode proteins, it does not detect loci that are transcribed into ncRNA.

Integration of drug-target data with candidate gene prediction systems can identify novel phenotypes which may benefit from current therapeutics.

Conclusions Most basic prediction models can identify people at high risk of developing diabetes in a time frame of five to 10 years.

There are two studies that have investigated whether existing sequence-based function prediction methods can identify distinct dual functions of moonlighting proteins [ 28, 29].

We created a powerful risk prediction model that can identify breast cancer patients at high risk for weight gain.