The invention discloses a
protein subcellular localization method and
system based on gating multi-mode routing, and relates to the technical field of
protein subcellular localization, and the method comprises the steps: obtaining a
protein image and a protein sequence; the method comprises the following steps: respectively adopting a ConvNeXt-V2 network and an ESM-2 model to carry out
feature extraction on a protein image and a protein sequence to obtain image features and sequence features, and then based on a Sparsemax gating network, obtaining multi-
modal fusion features; according to the
STRING database and the subcellular compartment
distance matrix, a weighted
adjacency matrix is constructed, a protein map is obtained, then in combination with multi-
modal fusion features, through a positioning
perception neural network, aggregated neighbor features are obtained, and in combination with geometric prototype decoding and hierarchical constraint loss, multi-
label prediction is carried out, and an optimized prediction result is obtained. According to the method, the capability of capturing
complex protein features is improved, the problem of insufficient single-
modal information is solved, and the accuracy of positioning prediction is improved.