A Predictive Model of Antibody Binding in the Presence of IgG-Interacting Bacterial Surface Proteins.

ABSTRACT: Many bacteria can interfere with how antibodies bind to their surfaces. This bacterial antibody targeting makes it challenging to predict the immunological function of bacteria-associated antibodies. The M and M-like proteins of group A streptococci (GAS) exhibit IgGFc-binding regions, which they use to reverse IgG binding orientation depending on the host environment. Unraveling the mechanism behind these binding characteristics may identify conditions under which bound IgG can drive an efficient immune response. Here, we have developed a biophysical model for describing these complex protein-antibody interactions. We show how the model can be used as a tool for studying the binding behavior of various IgG samples to M protein by performing in silico simulations and correlating thi

SUBMITTER: Kumra Ahnlide V 

PROVIDER: S-EPMC8019711 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature