Resource of AF2 Predicted Structures of Autophagy Pathway

Welcome to RAPSAP, a curated resource that leverages AI-based AlphaFold2(AF2) and molecular dynamics (MD) simulations to enhance the current structural and functional understanding of autophagic proteins. AF2 enhances the structural space of autophagic proteins by ~47%. RAPSAP enlists the confidence structural predictions of 416 proteins constituting autophagic interactome along with their extensive analysis. The resource also provides comprehensive assessment of 38 core autophagic proteins predicted by AF2. The structures with less template information and high-confidence scores were subjected to microsecond MD simulations to generate ensemble of functionally relevant conformations. The current resource provides an open access to these structural conformers. In addition to the monomeric models, AF2 predicted multimeric complex of ATG7-ATG10 tetramer and its simulated ensemble, is made available. To summarize, RAPSAP serves as an excellent starting point to explore autophagic proteins and complexes in understanding functioning of autophagy pathway.