Machine Learning Detects Anti-DENV Signatures in Antibody Repertoire Sequences.

ABSTRACT: Dengue infection is a global threat. As of today, there is no universal dengue fever treatment or vaccines unreservedly recommended by the World Health Organization. The investigation of the specific immune response to dengue virus would support antibody discovery as therapeutics for passive immunization and vaccine design. High-throughput sequencing enables the identification of the multitude of antibodies elicited in response to dengue infection at the sequence level. Artificial intelligence can mine the complex data generated and has the potential to uncover patterns in entire antibody repertoires and detect signatures distinctive of single virus-binding antibodies. However, these machine learning have not been harnessed to determine the immune response to dengue virus. In order to enab

SUBMITTER: Horst A 

PROVIDER: S-EPMC8542978 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature