Sentence examples for between a query protein from inspiring English sources

We can simply calculate the similarity between a query protein and a known one to assign the corresponding GO term.

For example, let sim X (q, s d ) and sim Y (q, s d ) be the similarity scores between a query protein q and a protein s d in the database as provided by the models X and Y, respectively.

If we assume matching a pair of fragments takes constant time O(1), the same as matching two structures by traditional projection methods, then a naive implementation of fragment comparison between a query protein against the database would take time O(Nn), where N is the number of proteins in the database and O(n) is the number of fragments of a query protein and each database protein.

Given a query protein, the similarity scores are calculated between this protein and all other proteins in the ontology.

In order to perform comparative analysis between salivary proteins repertoires, Raw BLAST score obtained from the match of a query protein sequence with a targeted protein sequence were divided against raw self-BLAST score from the match of the query protein sequence to itself to obtain normalised BLAST scores (or BLAST Score Ratio).

If the BLAST score of a query protein with a location-known protein was greater than 120, they were considered similar with the query protein.

For a query protein, k proteins in the training set which are closest to the query protein are first identified and are denoted by p1, p2,…, p k.

17 From calculated pairwise sequence alignments PROVEAN extracts alignment scores between an unmutated query protein sequence, a query sequence with introduced amino acid variants, and closely related homologous proteins that are known to be functional.

The BLASTP output file for each pathogen analysed had been carefully scrutinised to obtain a last file (LF) including the alignments that comprise local, significant sequence similarity between the pathogen query protein and a subject human one if one exists.

The LF for each pathogen analysed, coming from the output file after the BLASTP analysis [18], which contains the alignments comprising local, significant sequence similarity between the pathogen query protein and a subject human one, have been carefully scrutinised.

To obtain ranked lists, pairwise functional similarity scores were computed between the query protein and all other 18 076 protein entries used in our study.