Publications by authors named "C Paissoni"

Article Synopsis
  • Structure-based models play a key role in simulating protein folding and understanding their mechanisms, particularly for fast-folding proteins in explicit solvent using classical molecular dynamics.
  • A new hybrid model called multi-GO has been developed to simulate out-of-equilibrium self-assembly processes that have been challenging to access, such as protein aggregation.
  • The improved multi-GO model successfully learns the conformational behaviors of various peptides and proteins, showing its potential to enhance simulations for processes beyond the current capabilities of other techniques.
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Small-angle X-ray and neutron scattering (SAXS/SANS) provide valuable insights into the structure and dynamics of biomolecules in solution, complementing a wide range of structural techniques, including molecular dynamics simulations. As contrast-based methods, they are sensitive not only to structural properties but also to solvent-solute interactions. Their use in molecular dynamics simulations requires a forward model that should be as fast and accurate as possible.

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The uneven worldwide vaccination coverage against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and emergence of variants escaping immunity call for broadly effective and easily deployable therapeutic agents. We have previously described the human single-chain scFv76 antibody, which recognizes SARS-CoV-2 Alpha, Beta, Gamma and Delta variants. We now show that scFv76 also neutralizes the infectivity and fusogenic activity of the Omicron BA.

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Protein aggregation into amyloid fibrils is the archetype of aberrant biomolecular self-assembly processes, with more than 50 associated diseases that are mostly uncurable. Understanding aggregation mechanisms is thus of fundamental importance and goes in parallel with the structural characterization of the transient oligomers formed during the process. Oligomers have been proven elusive to high-resolution structural techniques, while the large sizes and long time scales, typical of aggregation processes, have limited the use of computational methods to date.

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