RP3Net: a deep learning model for predicting recombinant protein production in Escherichia coli.

ABSTRACT:

Motivation

Recombinant protein expression can be a limiting step in the production of protein reagents for drug discovery and other biotechnology applications. We introduce RP3Net (Recombinant Protein Production Prediction Network), an AI model of small-scale heterologous soluble protein expression in Escherichia coli. RP3Net utilizes the most recent protein and genomic foundational models. A curated dataset of internal experimental results from AstraZeneca and publicly available data from the Structural Genomics Consortium was used for training, validation and testing of RP3Net.

Results

RP3Net achieves an increase in area under the receiver operator curve (AUROC) of 0.15, compared to a baseline model. When experimentally validated on an independent, prospective, manually se

SUBMITTER: Tankhilevich E 

PROVIDER: S-EPMC12857573 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature