Computational Epitope Mapping
作者： Matthew N. Davies , Darren R. Flower
DOI: 10.1007/978-1-4419-1327-2_9
关键词: Data science 、 Identification (biology) 、 Bayesian neural networks 、 Epitope mapping 、 Process (engineering) 、 Vaccination 、 Computer science 、 Principal (computer security) 、 Empirical process (process control model)
摘要: Despite its unequivocal benefits to humankind, vaccine design and development has always been an inherently laborious a largely empirical process; the unfortunate lack of rational basis for vaccinology hitherto stymied commercial exploitation discovery also deployment vaccination as principal, global instrument public health provision. Immunoinformatics offers plethora programs techniques that have potential simplify greatly process discovering vaccines. These can assist in identification immunogenic epitopes might be overlooked by conventional experimentation.
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