QAARM: quasi-anharmonic autoregressive model reveals molecular recognition pathways in ubiquitin.

ABSTRACT:

Motivation

Molecular dynamics (MD) simulations have dramatically improved the atomistic understanding of protein motions, energetics and function. These growing datasets have necessitated a corresponding emphasis on trajectory analysis methods for characterizing simulation data, particularly since functional protein motions and transitions are often rare and/or intricate events. Observing that such events give rise to long-tailed spatial distributions, we recently developed a higher-order statistics based dimensionality reduction method, called quasi-anharmonic analysis (QAA), for identifying biophysically-relevant reaction coordinates and substates within MD simulations. Further characterization of conformation space should consider the temporal dynamics specific to each identifie

SUBMITTER: Savol AJ 

PROVIDER: S-EPMC3117343 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature