A homogeneous dataset of polyglutamine and glutamine rich aggregating peptides simulations

Exequiel E. Barrera, Sergio Pantano*, Francesco Zonta

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

This dataset contains a collection of molecular dynamics (MD) simulations of polyglutamine (polyQ) and glutamine-rich (Q-rich) peptides in the multi-microsecond timescale. Primary data from coarse-grained simulations performed using the SIRAH force field has been processed to provide fully atomistic coordinates. The dataset encloses MD trajectories of polyQs of 4 (Q4), 11 (Q11), and 36 (Q36) amino acids long. In the case of Q11, simulations in presence of Q5 and QEQQQ peptides, which modulate aggregation, are also included. The dataset also comprises MD trajectories of the gliadin related p31-43 peptide, and Insulin's C-peptide at pH=7 and pH=3.2, which constitute examples of Q-rich and Q-poor aggregating peptides. The dataset grants molecular insights on the role of glutamines in spontaneous and unbiased ab-initio aggregation of a series of peptides using a homogeneous set of simulations [1]. The trajectory files are provided in Protein Data Bank (PDB) format containing the Cartesian coordinates of all heavy atoms in the aggregating peptides. Further analyses of the trajectories can be performed directly using any molecular visualization/analysis software suites.

Original languageEnglish
Article number107109
JournalData in Brief
Volume36
DOIs
Publication statusPublished - Jun 2021
Externally publishedYes

Keywords

  • Aggregation
  • Coarse-grained simulation
  • Molecular dynamics
  • Oligomerization
  • Q-rich
  • SIRAH
  • Soluble oligomer
  • polyQ

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