Data processing method and apparatus for virus protein mutation prediction

Abstract

Embodiments of the present disclosure relate to virus protein mutation site discovery and variant design. There is proposed a data processing method for virus protein mutation prediction, comprising acquiring relevant information about a virus protein sequence for prediction, wherein the relevant information includes amino acid type information, amino acid position information, and corresponding fitness information in the virus protein sequence, and based on the relevant information about the virus protein sequence for prediction, predicting an amino acid mutation site in the virus protein sequence by using a neural network.

Dependencies are inferred from the claim text.