Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2003-01-16
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pgs, 4 figs, subm Proc. Natl. Acad. Sci
Scientific paper
10.1073/pnas.0330720100
The energy landscapes of proteins have evolved to be different from most random heteropolymers. Many studies have concluded that evolutionary selection for rapid and reliable folding to a given structure that is stable at biological temperatures leads to energy landscapes having a single dominant basin and an overall funnel topography. We show here that, while such a landscape topography is indeed a sufficient condition for folding, another possibility also exists, giving a new class of foldable sequences. These sequences have landscapes that are only weakly funneled in the conventional thermodynamic sense, but have unusually low kinetic barriers for reconfigurational motion. Traps have been specifically removed by selection. Here we examine the possibility of folding on these "buffed" landscapes, by mapping the determination of statistics of pathways for the heterogeneous nucleation processes involved in escaping from traps to the solution of an imaginary time Schroedinger equation. This equation is solved analytically in adiabatic and ``soft-wall'' approximations, and numerical results are shown for the general case. The fraction of funneled vs. buffed proteins in sequence space is estimated, suggesting the statistical dominance of the funneling mechanism for achieving foldability.
Plotkin Steven S.
Wolynes Peter G.
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