Skip to main navigation Skip to search Skip to main content

Blind protein structure prediction using accelerated free-energy simulations

  • Alberto Perez
  • , Joseph A. Morrone
  • , Emiliano Brini
  • , Justin L. MacCallum
  • , Ken A. Dill
  • Stony Brook University
  • IBM
  • University of Calgary

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

We report a key proof of principle of a new acceleration method [Modeling Employing Limited Data (MELD)] for predicting protein structures by molecular dynamics simulation. It shows that such Boltzmann-satisfying techniques are now sufficiently fast and accurate to predict native protein structures in a limited test within the Critical Assessment of Structure Prediction (CASP) community-wide blind competition.

Original languageEnglish
Article numbere1601274
JournalScience Advances
Volume2
Issue number11
DOIs
StatePublished - Nov 2016

Fingerprint

Dive into the research topics of 'Blind protein structure prediction using accelerated free-energy simulations'. Together they form a unique fingerprint.

Cite this