Published January 11, 2022 | Version 1.0
Dataset Open

S669

Authors/Creators

  • 1. Department of Medical Sciences, University of Turin
  • 2. University of Turin
  • 3. Department of Pharmacy and Biotechnology (FaBiT), University of Bologna

Description

A dataset of protein variants with annotated with their experimental DDG values, collected and manually cleaned from the latest version of the ThermoMutDB database, consisting of 669 variants not included in the most widely used training datasets. It includes the protein structures (both wild-type and mutated) for the variants. Please refer to the original publication:

Corrado Pancotti, Silvia Benevenuta, Giovanni Birolo, Virginia Alberini, Valeria Repetto, Tiziana Sanavia, Emidio Capriotti, Piero Fariselli, Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset, Briefings in Bioinformatics, Volume 23, Issue 2, March 2022, bbab555, https://doi.org/10.1093/bib/bbab555

Files

S669.zip

Files (44.1 MB)

Name Size Download all
md5:fa6de0dbcee83656109a8e685720b94a
44.1 MB Preview Download

Additional details

References

  • Corrado Pancotti, Silvia Benevenuta, Giovanni Birolo, Virginia Alberini, Valeria Repetto, Tiziana Sanavia, Emidio Capriotti, Piero Fariselli, Predicting protein stability changes upon single-point mutation: a thorough comparison of the available tools on a new dataset, Briefings in Bioinformatics, Volume 23, Issue 2, March 2022, bbab555, https://doi.org/10.1093/bib/bbab555