[Research progress on B-cell epitope prediction methods].

B-cell epitopes are regions on the surface of antigens that can be recognized and bound by B-cell receptors or antibodies. Accurate identification of B-cell epitopes of antigens can accelerate the development of drugs such as antibodies and vaccines. This paper conducts a systematic review of representative methods developed in recent years for predicting both B-cell conformational epitopes (such as SEPPA 3.0, DiscoTope-3.0, BepiPred-3.0, etc.) and linear epitopes (such as DLBEpitope, EpiDope, EpitopeVec, etc.). It presents an introduction to these methods, covering aspects such as model architecture, prediction performance, application scope, and illustrative examples, with the aim of providing reference information for related research fields.