Using protein structure prediction with molecular phylogenetic analysis to understand membrane interactions in synaptotagmin-like proteins

Abstract

Protein structure prediction is emerging as a core technology for understanding biomolecules and their interactions. Here, we have combined structure prediction with molecular phylogenetic analysis in order to provide information on the evolution of electrostatic membrane binding in synaptotagmin-like proteins (Slps). Slp family proteins play key roles in the membrane trafficking of large dense-core secretory vesicles in vertebrates. Our previous experimental and computational study found that the C2A domain of Slp-4 (also called granuphilin) binds with high affinity to phosphatidylinositol-(4,5)-bisphosphate (PIP2) and phosphatidylserine (PS) found in the cytoplasmic leaflet of the plasma membrane.