Autonomous folding in the membrane proximal HIV peptide gp41659–671: pH tuneability at micelle interfaces
文献情報
Craig R. Gregor, Eleonora Cerasoli, Paul R. Tulip, Maxim G. Ryadnov, Glenn J. Martyna
The flexibility of the Membrane Proximal Region (MPR) of the HIV-1 gp41 envelope glycoprotein is believed to be relevant to its biological function. Its conformational bias is potentially influenced by the various environmental conditions experienced during viral fusion. Using a combination of Circular Dichroism and Molecular Dynamics simulations, we show that a very short MPR fragment gp41659–671 spanning the 2F5 monoclonal antibody epitope, exhibits autonomous helical folding in the presence of membrane mimicking SDS micelles and the extent of which can be tuned by pH variation: Specifically, the peptide shows no defined fold type at basic pH but is helical at physiological and lower pH environments. By contrast, no such control of helical folding by pH is observed in aqueous solutions in the absence of SDS. Instead, the experimental data imply that unfolded structures persist and that pH has negligible influence on conformational bias. We also explore the pronounced sensitivity to standard empirical potentials and conclude that AMBER-ff03 provides a reasonably accurate description of the solution state structure and is therefore a good choice for future exploration of membrane-induced phenomena.
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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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