Use Protean 3D to accurately perform B-cell epitope prediction using only sequence-based information.
B-cell epitopes–the part of an antigen recognized by an antibody–are conformational in nature; however, accurate epitope prediction is difficult for proteins without a known 3D structure. Protean 3D, part of Lasergene Protein, uses a machine learning approach that improves the ability to perform B-cell epitope prediction using only sequence-based information, providing better overall predictive accuracy than other leading epitope prediction methods. Protean 3D enables you to view predicted epitopes and antigenic regions along your sequence and structure, and compare predictions to other characteristics, such as surface probability. Easily create molecular and solvent accessible surfaces around your structure and view predicted epitopes relative to the protein surface, view confidence scores for predicted antigenic regions, and change the appearance of predicted epitopes on the sequence and structure for optimized visualization and publication-quality images.
