ACIDES: on-line monitoring of forward genetic screens for protein engineering.
Ontology highlight
ABSTRACT: Forward genetic screens of mutated variants are a versatile strategy for protein engineering and investigation, which has been successfully applied to various studies like directed evolution (DE) and deep mutational scanning (DMS). While next-generation sequencing can track millions of variants during the screening rounds, the vast and noisy nature of the sequencing data impedes the estimation of the performance of individual variants. Here, we propose ACIDES that combines statistical inference and in-silico simulations to improve performance estimation in the library selection process by attributing accurate statistical scores to individual variants. We tested ACIDES first on a random-peptide-insertion experiment and then on multiple public datasets from DE and DMS studies. ACIDES allows
SUBMITTER: Nemoto T
PROVIDER: S-EPMC10751290 | biostudies-literature | 2023 Dec
REPOSITORIES: biostudies-literature
ACCESS DATA