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However, 14-3-3 binding to multiple peptides of different sequences is evidently the first example that closely corresponds to Koshland's original induced fit hypothesis.
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Due to their ability of effective binding to multiple target microbes, the antimicrobial peptides (AMPs) have recently received lots of attention as an alternative to antibodies for detecting bacteria.
MULTIPRED2 is a computational system for facile prediction of peptide binding to multiple alleles belonging to human leukocyte antigen (HLA) class I and class II DR molecules.
Next we trained the machine learning classifier on binding data for DRB1*0101 and made predictions for peptide binding to multiple dissimilar MHC allotypes in order to test the transferability of the prediction method.
Peptides that are capable of binding to multiple MHC molecules are potential T cell epitopes for diverse human populations that may be useful in vaccine design.
All peptides were predicted to be very promiscuous, binding to multiple (up to 9 in several cases) alleles.
Using a FITC-conjugated CPE peptide we show specific in vitro and in vivo binding to multiple primary chemotherapy resistant ovarian cancer cell lines.
Some will respond to multiple peptides, others probably to fewer peptides.
It has allowed measurement of the binding affinity of PRDs to multiple peptide sequences [3].
Consider for example, the problem of predicting promiscuous MHC binding peptides [33], where each peptide can bind to multiple HLA molecules.
Acyclovir (DB00787) was then subjected to binding affinity assays with multiple peptides to determine the best HLA-B*57 01-acyclovir-peptide HLA-B*57 01-acyclovir-peptide HLA-B*57 01-acyclovir-peptide HLA-B*57 01-acyclovir-peptide
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