The invention discloses a
protein function prediction method based on multi-
modal fusion and a dynamic
label network, and belongs to the technical field of biological information, an adjacent matrix of a
label association network can be smoothly updated in a model training process, and the
protein function prediction method can be used for predicting
protein functions by extracting various
modal information of protein. The redundant relation among
multiple modes is removed, the prediction effect of protein functions is improved, meanwhile, a training method combining a
protein function association network and a tag association network is used, the influence of multiple tags on
protein function prediction is considered, and
protein function prediction is achieved by fusing the sequence, structure and structural domain information of protein. According to the method, the complementarity of various data is fully utilized, so that the prediction capability of the model is improved, and compared with a traditional method using a static
label relationship, the scheme dynamically updates the label relationship in model training, so that the generalization capability of the model is further improved.