Recent progress in epitope prediction has shown promising results in the development of vaccines and therapeutics against various diseases. However, the overall accuracy and success rate need to be improved greatly to gain practical application significance, especially conformational epitope prediction. In this review, we examined the general features of antibody–antigen recognition, highlighting the conformation selection mechanism in flexible antibody–antigen binding. We recently highlighted the success and warning signs of antibody epitope predictions, including linear and conformation epitope predictions. While deep learning-based models gradually outperform traditional feature-based machine learning, sequence and structure features still provide insight into antibody–antigen recognition problems.
Focal adhesion kinase (FAK) is a kind of tyrosine kinases that modulates integrin and growth factor signaling pathways. FAK is a promising therapeutic target, involving in cancer cell migration, proliferation...
Serum and glucocorticoid-regulated protein kinase 1 (SGK1) is highly expressed in many tumors that can promote the growth of tumor cells. Sarcoma gene (Src) is a class of oncogenes, plays...
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