Sentence examples for binding algorithm from inspiring English sources

HLA class II alleles predicted to bind the peptides were determined using ProPred HLA class II binding algorithm [ 15], summarized in Table 1.

Data were analysed with GraphPad Prism and fitted using a 'one-site total binding' algorithm.

Data were analysed with GraphPad Prism and fitted using a 'one-site total binding' algorithm to determine the IC50 of J591c-scFv with 68Ga-THP-mal-J591c-scFv as probe.

Briefly, Bmax and Kd of GLP-1/Fc were calculated by following the Specific-Nonspecifc binding algorithm for one site binding, using the formula: Specific binding  = Bmax * [L]/ Kd + [L]), where Bmax is the maximal binding at a given [L], [L] =  Ligand concentration.

Data are shown for the Propred 62 HLA-DR binding algorithm in Table S4.

These adjustments and kinetic analyses were performed using the BIAevaluation Software ver. 3. Rate constants were calculated by applying the graphs to a 1 1 Langmuir binding algorithm.

Rather than purchase an entire set of overlapping peptides, MHC-II peptide binding algorithms were used to predict candidate peptides from HEL that would bind HLA-DR15.01 HLA-DR15.01

The almost complete sequencing of the genomes of the predominant strains of T. gondii in conjunction with the development of predictive binding algorithms for MHC I peptides in humans now offers a new opportunity for vaccine development against this medically important pathogen.

MHC-peptide binding algorithms actually predict that the A2-BRLF-1 epitope has a longer half-life of dissociation from HLA-A*0201 HLA-A*02012-BMLF-1 epithan.

Almost all (50) of these conserved sequences contained putative supertype HLA class I or class II epitopes as predicted by 4 peptide-HLA binding algorithms.

For this purpose, tumor tissue from an RCC patient was sequenced and mutated HLA-ligands were predicted by MHC binding algorithms.