Trying to run QM/MM simulation with calcium binding protein

In summary, a graduate student is having trouble getting a QM/MM simulation to converge, and has tried a few methods with little success. He is using Orca, but is considering trying a different method if the current one does not converge. The system is multi-configuration and the QM/MM simulation is failing to converge; however, if the simulation is started with a low level of theory and continues to grow more accurate, it may be possible to use the new MOs from the earlier calculation as an initial guess for a production run using a larger basis set and/or a higher level of theory.f
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Hello everyone, I'm a graduate student in a biophysics lab. I'm trying to run a QM/MM simulation with a protein that binds 3 Ca2+ ions, and as such I am having a devil of a time getting the SCF to converge. I've tried DIIS, KDIIS, damping, and a few other methods to try to get convergence with not much luck. The couple of times it has converged, it was after more than 100 iterations, which is just too expensive. Does anyone have any suggestions of things I could try? It doesn't matter much, but I'm using Orca for the QM portion. Thanks a bunch.
 
  • #2
Plot your energy after each SCF cycle. Are they oscillating or are they going down continually? If they're going down continually, then you probably just need more SCF cycles to reach convergence (I'm assuming the program terminates after a preset number of SCF cycles--which you should be able to adjust). If they're oscillating, you might need to loosen your convergence criteria, at least for preliminary runs. Sometimes if you start with a crappy initial guess for your molecular orbitals, it just takes a while and there's nothing you can do about it. But if you can get it to converge once, you can usually use these new MOs for a better initial guess. I'm sure there are ways to do this in Orca; it's a pretty robust program.

Of course, all this assumes that your system is reasonably well-behaved. If you have a system which is inherently multi-configuration and you're running an HF-type calculation, your SCF runs will fail to converge because your model isn't a reasonable approximation of the system.
 
  • #3
But if you can get it to converge once, you can usually use these new MOs for a better initial guess.
I just realized this made no sense when I read it to myself. What I meant was: 1) get the system to converge with an obscenely low level of theory/small basis set like HF/STO-3G or 3-21G. Then 2) use the MOs from this calculation as an initial guess for a production run with a bigger basis set and/or a higher level of theory.
 

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