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June 23, 2026
LSFG: Method for capturing atomic details of proteins using a 3d grid for mutational analysis

LSFG is a novel method for engineering proteins by utilizing an atomistic grid-based computational method that analyzes and compares protein atomic compositions. By arranging a protein’s atoms into a fine 3D grid, this approach captures atomic-level details in highly localized regions, allowing comparison of specific protein regions even in the absence of structural similarity. Unlike...

June 23, 2026
A method for engineering proteins

Presented herein is a method for protein engineering that constructs a three-dimensional grid space around a protein. Different probes simulating amino acid interactions are placed within the grid. Pair Interaction Energy is calculated using the FMO technique for probe-protein interactions. An algorithmic process calculates the sum of PIEs, extending from each grid point to its...

June 23, 2026
Engineered cytoskeleton actin polypeptide with nitrilase activity

The functional repurposing of structural proteins offers exciting opportunities for sustainable and efficient biocatalysis. This study presents the engineering of two structural proteins, F-actin, to exhibit nitrilase activity, enabling the conversion of 1-(cyanomethyl)cyclohexane-1-carbonitrile into 2-(1-cyanocyclohexyl)acetic acid, a key intermediate in the production of gabapentin. By introducing catalytic residues adapted from nitrilase enzymes, these engineered proteins...

June 15, 2026
An artificial intelligence method to predict selectivity of transaminases and enantiomeric excess of transaminase-ketone reactions

The present invention describes identifying if a given Transaminase is (R)-Selective or (S)-Selective. Based on the binding of the substrate in the active site of a given transaminase, it is primarily based on torsion, the angle between specific atoms of the cofactor PLP and the catalytic Lysine, and the ten interactions of the substrate with...