Accurate identification of broadly neutralizing antibodies against dengue virus based on deep stacking strategy with multi-perspective features.

ABSTRACT: Rapid and precise screening for broadly neutralizing antibodies (bNAbs) against all four dengue virus (DENV) serotypes (DENV-1 to DENV-4) is essential to accelerate the development of effective therapeutic antibodies and combat the global burden of dengue fever. However, characterizing bNAbs against DENV through experimental methods remains a significant challenge, as it requires costly laboratory conditions and time-consuming procedures. Therefore, computational methods for in silico identification of bNAbs against DENV based on sequence information are highly desirable and can effectively complement established experimental approaches. Thus, we propose a novel and high-accuracy computational approach, called Deepstack-NAb, for the precise identification of bNAbs against DENV. This method

SUBMITTER: Ahmed S 

PROVIDER: S-EPMC12800099 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature