Verfahren und System zur Vorhersage der Veränderung der Proteinstabilität unter Verwendung eines Neuronalen Netzwerkmodells

Details

Veröffentlichungs-Nr.

EP4819148

Anmeldetag

2. März 2026

Veröffentlichung

7. Oktober 2026

Rechtsraum

EP

Abstract

This disclosure relates generally to a sequence based neural network method for predicting change in stability of proteins upon single point mutations (SPM). The Stateof-the-art methods are unable to capture change in residue environment using protein sequences information alone. The method of the present disclosure considers novel representation of a wild-type protein sequence and a mutant-type protein sequence by considering residue environment in addition to the residue at the position of mutation. Highly attended residues with respect to the position of mutation form residue environment and are identified by leveraging attention mechanism of the Protein Language Model (PLM) used in this study. Thus, the method captures change in the residue neighbour on mutation without using structural information. The method leads to a more accurate prediction of change in free energy (ΔΔG) at the site of mutation. as compared to existing state of the art methods.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien