Data-driven discovery of innate immunomodulators via machine learning-guided high throughput screening.

ABSTRACT: The innate immune response is vital for the success of prophylactic vaccines and immunotherapies. Control of signaling in innate immune pathways can improve prophylactic vaccines by inhibiting unfavorable systemic inflammation and immunotherapies by enhancing immune stimulation. In this work, we developed a machine learning-enabled active learning pipeline to guide in vitro experimental screening and discovery of small molecule immunomodulators that improve immune responses by altering the signaling activity of innate immune responses stimulated by traditional pattern recognition receptor agonists. Molecules were tested by in vitro high throughput screening (HTS) where we measured modulation of the nuclear factor κ-light-chain-enhancer of activated B-cells (NF-κB) and the int

SUBMITTER: Tang Y 

PROVIDER: S-EPMC10646978 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature