posted on 2017-04-20, 00:00authored byChuanbiao Zhang, Jin Yu, Xin Zhou
It
has been a long-standing and intriguing issue to develop robust
methods to identify metastable states and interstate transitions from
simulations or experimental data to understand the functional conformational
changes of proteins. It is usually hard to define the complicated
boundaries of the states in the conformational space using most of
the existing methods, and they often lead to parameter-sensitive results.
Here, we present a new approach, visualized Trajectory Map (vTM),
to identify the metastable states and the rare interstate transitions,
by considering both the conformational similarity and the temporal
successiveness of conformations. The vTM is able to give a nonambiguous
description of slow dynamics. The case study of a β-hairpin
peptide shows that the vTM can reveal the states and transitions from
all-atom MD trajectory data even when a single observable (i.e, one-dimensional
reaction coordinate) is used. We also use the vTM to refine the folding/unfolding
mechanism of HP35 in explicit water by analyzing a 125 μs all-atom
MD trajectory and obtain folding/unfolding rates of about 1/μs,
which are in good agreement with the experimental values.