Small molecule sequestration of amyloid-β as a drug discovery strategy for Alzheimer's disease

From MaRDI portal
Dataset:6697238



DOI10.5281/zenodo.3865919Zenodo3865919MaRDI QIDQ6697238

Dataset published at Zenodo repository.

Roberta Pierattelli, Benedetta Mannini, Thomas Löhr, Michele Perni, Michele Vendruscolo, Christopher M. Dobson, Alfonso de Simone, Gabriella Heller, Thomas C. T. Michaels, Carlo Camilloni, Francesco Simone Ruggeri, Francesco A. Aprile, Massimiliano Bonomi, Isabella C. Felli, Tuomas P. J. Knowles, Ryan Limbocker

Publication date: 8 August 2019

Copyright license: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International



These data describe thebound and unbound ensembles of a disordered peptide (amyloid beta) in the presence and absence of a small, drug-like molecule. The data were produced by metadynamic metainference simulations restrained with NMR chemical shift data. We used PLUMED version 2.6.0 and GROMACS 2018.3. All the data and PLUMED input files required to reproduce the metadynamic metainference results are available on PLUMED-NEST (www.plumed-nest.org), the public repository of the PLUMED consortium, as plumID:20.014. A Jupyter Notebook describing the analysis of these results is available from GitHub at https://github.com/vendruscolo-lab/amyloid-beta_small_mol/ in Metadynamic_metainference/Analysis. These data support the findings of the manuscript entitled Small molecule sequestration of amyloid- as a drug discovery strategy for Alzheimers disease by Heller et al. DOI:10.1101/729392






This page was built for dataset: Small molecule sequestration of amyloid-β as a drug discovery strategy for Alzheimer's disease