Resemblance-Ranking Peptide Library to Screen for Binders to Antibodies on a Peptidomic Scale.

ABSTRACT: A novel resemblance-ranking peptide library with 160,000 10-meric peptides was designed to search for selective binders to antibodies. The resemblance-ranking principle enabled the selection of sequences that are most similar to the human peptidome. The library was synthesized with ultra-high-density peptide arrays. As proof of principle, screens for selective binders were performed for the therapeutic anti-CD20 antibody rituximab. Several features in the amino acid composition of antibody-binding peptides were identified. The selective affinity of rituximab increased with an increase in the number of hydrophobic amino acids in a peptide, mainly tryptophan and phenylalanine, while a total charge of the peptide remained relatively small. Peptides with a higher affinity exhibited a lower sum

SUBMITTER: Jenne F 

PROVIDER: S-EPMC8999133 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature