Sentence examples for binding peptides were identified from inspiring English sources

Twofold MHC class II binding peptides were identified with the rule using our method, compared to the existing scoring matrix method.

In ORF3, two strong binding peptides were identified for the SLA3- 0401 allele.

Non-specific binding peptides were identified as those with signal intensities greater than 3X the array mean in at least two of three trials.

When SLA class-I epitopes for alleles SLA1-: 0401, SLA2-: 0401 and SLA3-: 0401 were predicted for the replicase proteins of the three subtypes using the NetMHCpan tool, five strong binding peptides were identified.

A number of MHC binding peptides were identified for the alleles used in analysis and Table 1 shows the best predicted binding peptide for each allele used in analysis and their log score.

In order to obtain lead peptides, an affinity selection from a phage-displayed random heptapeptide library was performed with the HAs of the H1 and H3 strains, and two kinds of the HA-binding peptides were identified.

Ni3B-binding peptides were identified using a commercially available M13 bacteriophage display library (Ph.D.-7; New England Biolabs) with random 7-mer peptides.

TfR-binding peptide was identified as both diagnostic and potential therapeutic purposes by biopanning through sequential rounds of negative and positive selection [ 27].

We first screened human cyclin D1-a protein sequences using the BIMAS, SYFPEITHI and RANKPEP algorithms for binding to HLA-A0201; anumberumber of peptides were identified that had predicted high-affinity binding to HLA-A0201.

Using this method, a new series of peptides were identified and their binding interactions characterized.

Both cyclic and linear peptides were identified, and the KDM1 and -4 binding phages did not share any sequence motifs.