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treekin − Calculate a macrostate dynamics of biopolymers |
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treekin [options] < foo.bar |
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treekin computes a reduced dynamics of biopolymer
folding by means of a Markov process that (generally) operates at
the level of macrostates, i.e. basins of attraction in the underlying
energy landscapes. |
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−a, −−absorb i |
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Make a state i absorbing (default none) |
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−m, −−method m |
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Select method to build transition matrix. Possible values
for m are: |
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−−p0 s=x |
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Set the start population probability of state s to x. This option can be given multiple times. Note that the sum of all population probabilities must be 1. |
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−−t0 time |
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Set simulation start time in internal units (default 0.1) |
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−−t8 time |
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Set simulation stop time in internal units (default 1e+09) |
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−−tinc increment |
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Time scaling factor for logarithmic time scale (default 1.02) |
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−T, −−Temp temp |
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Set the simulation temperature in Celsius to temp (default 37.0) |
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−−info |
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Show all settings (default off) |
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−h −−help |
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Output help information and exit. |
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−V −−version |
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Output version information and exit. |
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−b, −−bin |
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read binary input (default= off) |
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−d, −−degeneracy |
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Consider degeracy in transition rates (default= off) |
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−e, −−exponent |
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Use matrix−expontent routines, NO diagonalization (default off) |
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−−fpt |
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calculate first passage times (default=off) |
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−n, −−nstates num |
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Read num states |
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−r, −−recover |
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Recover from pre−calculated Eigenvalues and Eigenvectors (default=off) |
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−w −−wrecover |
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Write recovery file containing Eigenvalues and Eigenvectors (default=off) |
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−u, −−umatrix |
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Dump transition matrix U to a binary file mx.bin (default= off) |
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−x, −−mathematicamatrix |
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Dump transition matrix U to Mathematica−readable file mxMat.txt (default=off) |
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Typically, the first step is to compute an energy landscape by barriers: barriers −−saddle −−bsize −−rates < foo.sub > foo.bar the resulting barfile (foo.bar) and rates file (rates.out) are then processed by: treekin −−p0 2=1 −m I < foo.bar Here, the simulation starts with 100% of the initial
population in macrostate 2(second lowest local minimum in
the barrier tree). The transition matrix is constructed from
a set of microscopic rates (as computed by barriers).
Generally, the microstate dynamics is much more accurate
than the simple Arrhenius−like dynamics. |
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If you use this program in your work you might want to cite: M.T. Wolfinger, W.A. Svrcek−Seiler, Ch. Flamm, I.L. Hofacker, P.F. Stadler (2004) Efficient Folding Dynamics of RNA Secondary Structures J.Phys.A: Math.Gen. 37: 4731−4741 I.L. Hofacker, Ch. Flamm, M.T. Wolfinger, P.F. Stadler (2004) Approximation of RNA Folding Kinetics Using Sequences of Barrier Trees. in preparation |
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Michael Wolfinger, Ivo Hofacker, Christoph Flamm, Andreas Svrcek−Sailer, Peter Stadler. Send comments to <ivo@tbi.univie.ac.at> |
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barriers(1) |