The area per lipid (APL) will certainly affect the free energy of 
peptide/protein binding to a lipid bilayer. 
I have not used charmm lipids extensively, but from what I understand they 
older charmm lipids required 
NPAT to get the correct APL. The newer charmm lipids were supposed to solve 
that problem, but I have heard
it said that, though the problem has been alleviated to some extend, it still 
remains.

If I were you, I'd use POPC in place of POPE. POPE is notorious for giving 
too-small APL's in simulations and I think
it even requires temperatures of 323 K to enter the liquid phase.

That said, I don't have a specific answer to your question of whether there are 
other affects of NPAT vs. NPT. 
It is plausible that NPAT-based fluctuations could affect the pathway or the 
kinetics.

PS: I was not referring to lipid rafts, but the separate diffusion of the upper 
and lower leaflets. Once the peptide is
fully inserted, if it spans both leaflets, this will tend to reduce this 
leaflet-specific diffusion and would represent an
entropic penalty for binding (not sure how large).

Chris.

> 
> Dear Peter,
> 
> I also used h-bonds and I also switch LJ interaction from 0.8 nm to 1.2 nm 
> (as in Klauda's paper). I will retry with a more solvated membrane. 
> 
> Would you have any thought on how the NPAT ensemble might affect 
> peptide-membrane interactions like I am studying i.e. peptide is totally 
> solvated, then adsorb, and finally may insert? The paper on peptide-membrane 
> interaction like this usually use united-atom lipid in the NPT ensemble. Most 
> of the work I have seen on Charmm membrane in the NPAT ensemble were for 
> embedded membrane protein. 

Sorry, but I only have experience with large pre-embedded membrane proteins,
and those are governed both by signal sequences and post-translational
modification.

Chris's last email on the subject might lead to the hypothesis that lipid
raft translation as the leaflets "slide" past one another could be a 
contributing factor to adsorbption of your species.

> 
> Thanks,
> 
> Sebastien 
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