Optimal prediction of folding rates and transition state placement from native state geometry

Details Optimal prediction of folding rates and transition state placement from native state geometry Optimal prediction of folding rates and transition state placement from native state geometry

2002-02-06

arxiv.org/abs/cond-mat/0202090v1

Physics

Condensed Matter

Statistical Mechanics

Revtex, 15 pages, 8 figures

Scientific paper

A variety of experimental and theoretical studies have established that the folding process of monomeric proteins is strongly influenced by the topology of the native state. In particular, folding times have been shown to correlate well with the contact order, a measure of contact locality. Our investigation focuses on identifying additional topologic properties that correlate with experimentally measurable quantities, such as folding rates and transition state placement, for both two- and three-state folders. The validation against data from forty experiments shows that a particular topologic property which measures the interdepedence of contacts, termed cliquishness or clustering coefficient, can account with significant accuracy both for the transition state placement and especially for folding rates, the linear correlation coefficient being $r=0.71$. This result can be further improved to $r=0.74$, by optimally combining the distinct topologic information captured by cliquishness and contact order.

Affiliated with

Also associated with

No associations

Rating

Optimal prediction of folding rates and transition state placement from native state geometry 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 Optimal prediction of folding rates and transition state placement from native state geometry, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimal prediction of folding rates and transition state placement from native state geometry will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-631668