Copyright © 2005, Molsoft LLC Jul 2 2008
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[ Faq ] ICM is being developed, distributed and supported by Molsoft, LLC.If you have any problem with our programs, go to the Molsoft Support Center at https://www.molsoft.com/supportor contact Molsoft via e-mail: support@molsoft.com In the support center you can easily post a problem or make a suggestion and monitor its progress. Please indicate the platform, the version of the program, and do not forget all the necessary files to reproduce it. Some of the commands or functions described in this manual belong to specific modules and are not available in the ICM-main program.
[ Faq kernel | Faq ellipsoid | Faq residue properties ] Trouble-shooting. Setup on LINUX
Q: ICM does not start on a new Linux installation. Is there a solution? A:ICM is compiled on a computer with the the old Linux kernel for compatibility with the old kernel. As a result, you may get this message when you start ICM: icm icm: relocation error: icm: symbol errno, version GLIBC_2.0 not defined in file libc.so.6 with link time reference To run this executable on a new kernel, set the LD_ASSUME_KERNEL shell variable to 2.4.21 If you use the same executable in a heterogenious kernel environment, you may create a shell script to start ICM in which the LD_ASSUME_KERNEL variable is set to 2.4.21 , e.g. #!/bin/sh if uname -r | grep -q ^2.6; then export LD_ASSUME_KERNEL=2.4.21 fi exec /your/path/icm -p/your/path/ $*
For grobs, use this macro if you need only to know the lengths. macro calcEllips XYZ b=Eigen(Tensor(XYZ)) len1 = Length(b[?,1]) # the longest half-axis len2 = Length(b[?,2]) # the second half-axis len3 = Length(b[?,3]) # the third half-axis keep len1, len2, len3 endmacro XYZ is a coordinate matrix which can be returned by the Xyz function:
calcEllips Xyz( a_/* ) show len1,len2,len3 For more detailed output in which the vectors themselves are returned, use the calcEllipsoid macro.
Here is the recipe for arbitrary residue-based properties, which you define yourself.
# user defined residue scale defined for A,B,C,D,....X,Y,Z
h={1.8,0.,2.5,-3.5,-3.5,2.8,-.4,-3.2,4.5,0.,-3.9,3.8,1.9,-3.5,.0,-1.6,-3.5,-4.5,-.8,-.7,0.,4.2,-.9,0.,-1.3,0.}
Mean(Rarray(Sequence(Res(Sphere(g_pocket1,a_rec.,2.5)))))
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