Asynchronous structural rearrangements govern constriction of the human nuclear pore complex
Ding, E.; Mello, M. F.; Contessoto, V. G.; Oliveira, R. J.; Whitford, P. C.; Onuchic, J. N.
Show abstract
The nuclear pore complex (NPC) is responsible for transport between the cytoplasm and nucleus. CryoET experiments have resolved multiple conformations of the pore that are dilated or constricted. Since the dilation state will impact transport properties, there is much interest in understanding the energetic factors that regulate dilation/constriction. To this end, we applied a structure-based (G[o]-like) model to study the mechanistic properties of large-scale constriction ( [~] 100[A]) in the human NPC. Even though the structures are symmetric, the simulations implicate asynchronous rear-rangements during constriction. By considering variants of the model, we further characterize the relative contributions of individual proteins to this collective process. Together, this provides an energetic/structural foundation that can guide development of precise physical approaches for studying this elusive motion.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Multiple modes of cholesterol translocation in the human Smoothened receptor 95%
- SMC complex unidirectionally translocates DNA by coupling segment capture with an asymmetric kleisin path 94%
- Dissecting the sharp response of a canonical developmental enhancer reveals multiple sources of cooperativity 93%
Similar papers in this journal
Similar papers in this journal
- Predicting three-dimensional genome organization with chromatin states 94%
- DBFOLD: An efficient algorithm for computing folding pathways of complex proteins 94%
- Study of Protein-Protein Interactions in Septin Assembly: Multiple amphipathic helix domains cooperate in binding to the lipid membrane 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.