Packing energetics determine the folding routes of the RNase-H proteins
文献信息
Shachi Gosavi
Comparative studies of proteins from a family have been used to understand the factors that determine the folding routes of proteins. It has been conjectured that the folding mechanism of ribonuclease-H (RNase-H) proteins is determined by the topology of their fold. To test this hypothesis, we computationally studied the folding of four proteins from the RNase-H family, which have the overall RNase-H fold, but whose topologies differ in the region termed CORE in E. coli RNase-H. We simulated the folding of these proteins using molecular dynamics (MD) simulations of a coarse-grained structure-based model (SBM) which captures the effects of topology and found that the four proteins had similar folding routes. However, these simulated folding routes do not agree with the folding routes of those RNase-H proteins that have been experimentally characterized. We next simulated the proteins using an SBM which specifically accounts for packing energetics and found that these routes not only vary substantially across the simulated RNase-H proteins but also agree with experiments. Thus, the packing energetics determine the folding mechanism of the RNase-H proteins. By comparing the differing folding routes calculated from the two models, we isolated packing interactions that promote these differences. We find that the balance of packing energetics between CORE and the rest of the protein is different across the different RNase-Hs. This balance determines the folding route. Our studies suggest that proteins from the RNase-H family should be used for experimentally detecting structurally distinct folding routes.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.













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