Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.
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ABSTRACT:
SUBMITTER: Choi I
PROVIDER: S-EPMC4395155 | biostudies-literature | 2015 Apr
REPOSITORIES: biostudies-literature
Publications
Machine learning methods enable predictive modeling of antibody feature:function relationships in RV144 vaccinees.
Choi Ickwon I Chung Amy W AW Suscovich Todd J TJ Rerks-Ngarm Supachai S Pitisuttithum Punnee P Nitayaphan Sorachai S Kaewkungwal Jaranit J O'Connell Robert J RJ Francis Donald D Robb Merlin L ML Michael Nelson L NL Kim Jerome H JH Alter Galit G Ackerman Margaret E ME Bailey-Kellogg Chris C
PLoS computational biology 20150413 4
The adaptive immune response to vaccination or infection can lead to the production of specific antibodies to neutralize the pathogen or recruit innate immune effector cells for help. The non-neutralizing role of antibodies in stimulating effector cell responses may have been a key mechanism of the protection observed in the RV144 HIV vaccine trial. In an extensive investigation of a rich set of data collected from RV144 vaccine recipients, we here employ machine learning methods to identify and ...[more]
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