Assessing sequence-based protein-protein interaction predictors for use in therapeutic peptide engineering.

ABSTRACT: Engineering peptides to achieve a desired therapeutic effect through the inhibition of a specific target activity or protein interaction is a non-trivial task. Few of the existing in silico peptide design algorithms generate target-specific peptides. Instead, many methods produce peptides that achieve a desired effect through an unknown mechanism. In contrast with resource-intensive high-throughput experiments, in silico screening is a cost-effective alternative that can prune the space of candidates when engineering target-specific peptides. Using a set of FDA-approved peptides we curated specifically for this task, we assess the applicability of several sequence-based protein-protein interaction predictors as a screening tool within the context of peptide therapeutic engineering. We show

SUBMITTER: Charih F 

PROVIDER: S-EPMC9187631 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature