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Amyloid Fibrils03:03

Amyloid Fibrils

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Amyloid fibrils are aggregates of misfolded proteins.  Under most circumstances, misfolded proteins are either refolded by chaperone proteins or degraded by the proteasome. However, in the case of a mutation or a disease, these proteins can accumulate to form large clusters and often further assemble to form elongated fibers, called fibrils. 
Amyloid deposits were observed as early as 1639 in the liver and the spleen.   In 1854, Rudolph Virchow performed iodine staining,...
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Amyloid Fibrils03:03

Amyloid Fibrils

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Related Experiment Video

Updated: Oct 25, 2025

Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy
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Atomic Scale Structural Studies of Macromolecular Assemblies by Solid-state Nuclear Magnetic Resonance Spectroscopy

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MELD-accelerated molecular dynamics help determine amyloid fibril structures.

Bhanita Sharma1, Ken A Dill2,3,4

  • 1Laufer Center for Physical and Quantitative Biology, Stony Brook University, Stony Brook, NY, USA.

Communications Biology
|August 6, 2021
PubMed
Summary

Determining protein fibril structures is hard. MELD accelerated Molecular Dynamics (MD) accurately predicts amyloid structures using limited experimental data, paving the way for understanding mechanical properties.

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Area of Science:

  • Biophysics
  • Structural Biology
  • Computational Chemistry

Background:

  • Determining the structures of protein fibrils, such as amyloids, presents significant challenges.
  • Traditional Molecular Dynamics (MD) modeling is often impractical for large multi-molecular systems like fibrils.

Purpose of the Study:

  • To demonstrate the capability of MELD accelerated MD (MELD x MD) in predicting amyloid structures from limited experimental data.
  • To validate the accuracy of MELD x MD predictions against known fibril structures.

Main Methods:

  • Utilized MELD accelerated MD (MELD x MD) simulations.
  • Employed Nuclear Magnetic Resonance (NMR) and Solid State NMR (SSNMR) data for long-chain fibril predictions.
  • Used limited restraints information, including strand directions, for short-chain fibril predictions.

Main Results:

  • Accurately predicted five long-chain amyloid fibril structures using NMR and SSNMR data.
  • Successfully predicted ten short-chain amyloid fibril structures with more limited restraints.
  • The study validated predictions against available structure data.

Conclusions:

  • MELD x MD is a powerful and accurate method for predicting amyloid structures from limited experimental data.
  • This physical approach holds promise for elucidating mechanical properties, conformational ensembles, and relative stabilities beyond structure determination.