New method for deciphering free energy landscape of three-state proteins

Biology – Quantitative Biology – Biomolecules

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

18 pages, 1 table, 5 figures

Scientific paper

10.1063/1.2976760

We have developed a new simulation method to estimate the distance between the native state and the first transition state, and the distance between the intermediate state and the second transition state of a protein which mechanically unfolds via intermediates. Assuming that the end-to-end extension $\Delta R$ is a good reaction coordinate to describe the free energy landscape of proteins subjected to an external force, we define the midpoint extension $\Delta R^*$ between two transition states from either constant-force or constant loading rate pulling simulations. In the former case, $\Delta R^*$ is defined as a middle point between two plateaus in the time-dependent curve of $\Delta R$, while, in the latter one, it is a middle point between two peaks in the force-extension curve. Having determined $\Delta R^*$, one can compute times needed to cross two transition state barriers starting from the native state. With the help of the Bell and microscopic kinetic theory, force dependencies of these unfolding times can be used to locate the intermediate state and to extract unfolding barriers. We have applied our method to the titin domain I27 and the fourth domain of {\em Dictyostelium discoideum} filamin (DDFLN4), and obtained reasonable agreement with experiments, using the C$_{\alpha}$-Go model.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

New method for deciphering free energy landscape of three-state proteins does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with New method for deciphering free energy landscape of three-state proteins, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and New method for deciphering free energy landscape of three-state proteins will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-719696

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.