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e2pathwalker.py is a key component of Pathwalker, described in the following publication: | e2pathwalker.py is a component of [[Pathwalker]], described in the following publication: * [[http://www.sciencedirect.com/science/article/pii/S1047847716301101 | Chen, M., Baldwin, P.R., Ludtke, S.J., Baker, M.L., 2016. De Novo Modeling in Cryo-EM Density Maps with Pathwalking. Journal of Structural Biology]] |
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== LKH == | |
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We generally use LKH as the TSP solver for Pathwalker; it is fast, works well, and is relatively easy to compile. | == Installing LKH == |
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You can download LKH from the author's site: | We generally use LKH as the TSP solver for Pathwalker; it is fast, works well, and is relatively easy to compile. You can download LKH from the author's site: |
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and run "make". This will result in a binary "LKH" in LKH-2.0.5. You can copy this to |
and run "make". This will result in a binary "LKH" in LKH-2.0.5. You can copy this to |
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== Concorde == | == Installing Concorde == |
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usage: prog [options] <pdb file> |
usage: e2pathwalker.py [options] <pdb file> |
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Pathwalker wiki: http://blake.bcm.edu/emanwiki/Pathwalker positional arguments: postionalargs |
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--fixed FIXED Same as --edgefile. | |
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Contents
e2pathwalker.py
e2pathwalker.py is a component of Pathwalker, described in the following publication:
Installing a TSP Solver
e2pathwalker.py is included in the EMAN2 distribution, but requires a third party Traveling Salesman Problem (TSP) solver to run. Two TSP solvers are supported: LKH and Concorde.
Installing LKH
We generally use LKH as the TSP solver for Pathwalker; it is fast, works well, and is relatively easy to compile. You can download LKH from the author's site:
It is pretty easy to compile -- go into the LKH-2.0.5/SRC directory and run "make". This will result in a binary "LKH" in LKH-2.0.5. You can copy this to /usr/local/bin or somewhere in your $PATH.
Installing Concorde
...
Running Pathwalker
e2pathwalker.py operates on a single PDB file. With no additional options, it will simply read the PDB file and print out some statistics. To actually run the TSP solver, use the --solve option, with either --solve=lkh to use the LKH solver, or --solve=concorde to use the Concorde solver.
To save the TSP results, use the --output option with a filename: e.g. --output=test.pdb
By default, e2pathwalker.py will use the 'CA' atoms in 'A' chain in the input file; this can be changed with the --atomtype and --chain options.
There are several additional options; the current e2pathwalker.py options can be displayed using --help.
muta:~ irees$ e2pathwalker.py --help usage: e2pathwalker.py [options] <pdb file> Find paths between two atoms in a PDB model. You can also specify two PDB files to calculate an RMSD. Use "--solve=<solver>" to run the TSP solver and save the output. Use "--output" to save the output to a PDB file. Pathwalker wiki: http://blake.bcm.edu/emanwiki/Pathwalker positional arguments: postionalargs optional arguments: -h, --help show this help message and exit --version show program's version number and exit --output OUTPUT Output file --start START Start ATOM --end END End ATOM --average AVERAGE Average Ca-Ca length --dmin DMIN Mininum Ca-Ca length --dmax DMAX Maximum Ca-Ca length --noise NOISE Add Gaussian Noise --solver SOLVER Run TSP Solver: concorde or lkh --atomtype ATOMTYPE Load Atom Type. Default: 'CA'. Options: 'C' or 'all' --chain CHAIN Load Chain. Default: load all chains --edgefile EDGEFILE Load fixed fragment file; one sequence of forced connections per line, separated by space. -e EDGE, --edge EDGE Forced edge: e.g. -e1,3 --fixed FIXED Same as --edgefile. --iterations ITERATIONS Iterations --json JSON If writing output pdb, also write JSON metadata. Default: 1. Options: 0, 1 --overwrite Overwrite files without prompting --verbose n, -v n verbose level [0-9], higher number means higher level of verboseness --ppid PPID Set the PID of the parent process, used for cross platform PPID
Examples