To avoid problems of proteolysis and the carrier protein, Xu et al. 1 express a library that includes the sequence EFLIVIKS before and after the random peptide sequence. In the mid-1980s ...

In the PloS ONE study, lead author Matthew Greving and his collegues describe a strategy for further refinement of binding affinity in random sequence peptides. "The problem," Johnston explains ...

Two techniques were applied; one in which high affinity random sequence peptides were compared side by side with the antibody epitopes they bound with and similarities statistically analyzed.

The team experimentally quantified the aggregation of more than 100,000 protein sequences, and used this dataset to train the new AI tool for predicting aggregation from sequence.

Please use one of the following formats to cite this article in your essay, paper or report: APA. Rapid Novor Inc. (2018, October 29). Deciphering Antibodies with Next-Generation Protein ...

The study explored whether newly developed random antimicrobial peptide mixtures can significantly reduce the risk of resistance evolution compared to single sequence antimicrobial peptides.

The study explored whether newly developed random antimicrobial peptide mixtures can significantly reduce the risk of resistance evolution compared to single sequence antimicrobial peptides.

InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments. Nature Machine Intelligence , 2025; DOI: 10.1038/s42256-025-01019-5 Cite This Page : ...

Summary De novo sequencing is a method to analyze and identify peptide sequences and some post-translational modified proteins. Different from some other analysis methods, which depend on a known ...