Ensemble-based convergence analysis of biomolecular trajectories

Edward Lyman, Daniel M. Zuckerman

Research output: Contribution to journalArticlepeer-review

92 Scopus citations


Assessing the convergence of a biomolecular simulation is an essential part of any careful computational investigation, because many fundamental aspects of molecular behavior depend on the relative populations of different conformers. Here we present a physically intuitive method to self-consistently assess the convergence of trajectories generated by molecular dynamics and related methods. Our approach reports directly and systematically on the structural diversity of a simulation trajectory. Straightforward clustering and classification steps are the key ingredients, allowing the approach to be trivially applied to systems of any size. Our initial study on met-enkephalin strongly suggests that even fairly long trajectories (∼50 ns) may not be converged for this small - but highly flexible - system.

Original languageEnglish (US)
Pages (from-to)164-172
Number of pages9
JournalBiophysical Journal
Issue number1
StatePublished - 2006
Externally publishedYes

ASJC Scopus subject areas

  • Biophysics


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