Dear GROMACS users,
I have calculated MMPBSA for four docked protein models, keeping the receptor the same across all models. I used the following command:
gmx_MMPBSA -O -i mmpbsa.in -cs complex.tpr -ct complex.xtc -ci index.ndx -cg 18 19 -cp topol.top -o FINAL_RESULTS_MMPBSA.dat -eo FINAL_RESULTS_MMPBSA.csv*
The mmpbsa.in
file contains the following script:
Sample input file for decomposition analysis
This input file is meant to show only that gmx_MMPBSA works. Althought,
we tried to used the input files as recommended in the Amber manual,
some parameters have been changed to perform more expensive calculations
in a reasonable amount of time. Feel free to change the parameters
according to what is better for your system.
&general
sys_name=“Decomposition”,
startframe=0,
endframe=2000,
forcefields=“CHARMM36”
/
&gb
igb=5, saltcon=0.150,
/
#make sure to include at least one residue from both the receptor
##and ligand in the print_res mask of the &decomp section.
##this requirement is automatically fulfilled when using the within keyword.
##Re: [AMBER] Is there any problem with this input file? from Bill Miller III on 2013-08-05 (Amber Archive Aug 2013)
&decomp
idecomp=2, dec_verbose=3,
print_res=“within 4”
/
I obtained the binding energy for the four models (see the attached plot).
However, when I calculated the number of contacts between the protein pairs, I observed that the model with the most fluctuations in the contacts vs. time plot (screenshot attached) also had the most negative binding energy (model 2).
Is it possible for a protein pair to exhibit such fluctuations in contacts yet have a highly negative binding energy, even when the interactions are primarily non-covalent (e.g., hydrogen bonds, hydrophobic interactions, van der Waals forces)? Or could there be an issue with how I am calculating MMPBSA?
Any suggestions or insights would be greatly appreciated.