LibGENiE

LibGENiE predicts and excludes deleterious mutations to design information-enriched enzyme libraries for protein engineering and optimization of catalytic, biophysical, and molecular recognition properties.

Key Features:

• Deleterious Mutation Prediction: Identifies and excludes harmful mutations to reduce the candidate search space in enzyme library design.
• Mutation Pre-selection (Allowed Residues): Predicts allowed residues and substitutions that are less likely to be deleterious for targeted variant selection.
• Gene Synthesis Integration: Integrates mutation pre-selection with advanced gene synthesis methods to facilitate construction of designed enzyme libraries.

Scientific Applications:

• Protein Engineering: Supports design of libraries for engineering enzymes such as carbonic acid anhydrase, transaminases, squalene-hopene cyclases, and Kemp eliminases.
• Industrial Biocatalysis: Enables development of enzymes with improved catalytic performance, stability, or specificity for industrial applications.

Methodology:

Prediction of allowed residues and pre-selection of mutations that are less likely to be deleterious, with pre-selection outputs integrated with advanced gene synthesis methods.