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NEC B-cell Epitope Predictor
Defining the Next Frontier in Infectious Disease Treatment
Accurately predicting B cell epitopes using computational methods can significantly cut down the expense and duration involved in pinpointing potential candidates for vaccine development, targeted therapies, and immunodiagnostics. Despite this potential, existing computational tools for B cell epitope prediction fall short, performing inadequately and failing to meet the necessary standards. There is a substantial need for enhanced prediction strategies to achieve more reliable and effective outcomes.
NEC Bio offers a groundbreaking technology that enables reliable prediction of conformational B cell epitopes using just the primary protein sequence and the query molecular permutation vector. This advance holds significant promise for expanding the role of computational epitope prediction in a wide range of biomedical research fields.
The approach involves the use of a more detailed structural definition of the B cell epitope (BCE) including the 3D structures of the target sequence between contact point amino acids. The algorithm returns binding regions including contact amino acid and conformation of non-contact point amino acids. This structure can be used to predict the impact of variants in the antibody binding region as well as designing specific immunogen to raise antibodies against a given conformational epitope.
