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Nencini, R.

Publications and source records attributed to Nencini, R..

2 recordsLinked to original sources

Exploring Peptide-Based Nanodiscs Structure and Dynamics through Synergistic Approach of NMR Spectroscopy, SAS and MD Simulations

Peptide nanodiscs are promising anti-atherosclerosis therapeutics, drug delivery particles and structural biology tools. However, the lack of experimental methods for structural and dynamical characterization of these particles hinders their further development. Here we integrated nuclear magnetic resonance (NMR), small-angle x-ray scattering, and small-angle neutron scattering experiments with molecular dynamics (MD) simulations to investigate the structure and dynamics of peptide nanodiscs stabilized by the apolipoprotein A-I mimetic peptide 22A with therapeutic activity against atherosclerosis. This multi-technique approach takes advantage of combining average size and shape information from small-angle scattering, peptide site-specific information from NMR spectroscopy, and interpretative power of MD simulations. Our results reveal the intrinsic polydispersity in size of peptide nanodiscs, highlighting the importance of careful interpretation when using averaged experimental parameters. Our consensus model suggests that 22A peptides are predominantly in -helical configuration with a disordered inter-helical orientation around the lipid matrix. The terminal regions of the peptides display greater flexibility relative to the peptide core and an enhanced C-terminal exposure to solvent, which could facilitate interaction with the enzyme LCAT. Interestingly, our results indicate that peptides and lipids rotate together as a rigid body. The methodological approach described in this paper paves the way for the design of more stable and effective therapeutic nanodiscs and for the characterization of other biomolecular aggregates that are beyond the scope of current structural biology techniques. Significance StatementNanodiscs stabilized by 22A apoA-I mimetic peptides hold significant pharmaceutical potential for treating cardiovascular diseases by mimicking HDL functions, yet their development is hindered by the difficulty of characterizing disordered biomolecular systems. Standard structural biology techniques cannot readily resolve the structure and dynamics of these peptide nanodiscs, which is essential for rational therapeutic design. Here, we integrate complementary biophysical experiments with MD simulations to establish a consensus model of 22A peptide nanodisc structure, dynamics, and interactions with biological partners at molecular resolution. Beyond advancing peptide nanodisc design, our integrative methodology provides a generalizable framework for characterizing other disordered biomolecular assemblies that are similarly challenging to conventional structural approaches.

biochemistry↗

Effective Inclusion of Electronic Polarization Improves the Description of Electrostatic Interactions: The prosECCo75 Biomolecular Force Field

prosECCo75 is an optimized force field effectively incorporating electronic polarization via charge scaling. It aims to enhance the accuracy of nominally nonpolarizable molecular dynamics (MD) simulations for interactions in biologically relevant systems involving water, ions, proteins, lipids, and saccharides. Recognizing the inherent limitations of nonpolarizable force fields in precisely modeling electrostatic interactions essential for various biological processes, we mitigate these shortcomings by accounting for electronic polarizability in a physical rigorous mean-field way that does not add to computational costs. With this scaling of (both integer and partial) charges within the CHARMM36 framework, prosECCo75 addresses overbinding artifacts. This improves agreement with experimental ion binding data across a broad spectrum of systems -- lipid membranes, proteins (including peptides and amino acids), and saccharides -- without compromising their biomolecular structures. prosECCo75 thus emerges as a computationally efficient tool providing enhanced accuracy and broader applicability in simulating the complex interplay of interactions between ions and biomolecules, pivotal for improving our understanding of many biological processes.

biophysics↗