Dear CpHMD experts,
I have a question regarding explicit water pH-REMD simulations with a large number (for example between 40 and 100) of titrable residues.
It might sounds like a trivial question to you but I cannot seem to make up my mind about it...
Based on your experience or tests you have run it is better to run a single long pH-REMD simulation or several shorter ones or are both approaches equivalent?
I guess ideally you want to run several long pH-REMD simulations, each having converged, so you can sample well both the protonation space *and* the conformational space, but because of the computational costs associated with pH-REMD, especially for a titration done over several pH units, it is usually not possible to do so. In such kind of situation is it better to run for example 1 x 500 ns of pH-REMD, 2 x 250 ns, 4 x 125 ns of pH-REMD?
The answer would be obvious in the case of classical MD, but in the case of pH-REMD you want to reach convergence for the titration of ionisable residues which might take long for 'problematic residues' i.e residues that have a poor fit to the Hill equation and/or that interact strongly with one another and thus have interdependent protonation states. So if you run 2 short pH-REMD simulations, you might not reach convergence for both of those simulations, but if you combine them are you obtaining similar pKa estimates than you would for a twice as long single pH-REMD simulation (that has a much better convergence than two separate runs) ?
Multiple pH-REMD simulations will improve the sampling of your conformational space but perhaps it ultimately worsen your pKa estimates because of convergence issues and at the end of the day, it might be better with limited resources to run a single long pH-REMD simulation.
Any insights on the matter would be much appreciated.
Many thanks,
Eric
--
Eric Lang
BrisSynBio Postdoctoral Research Associate Modelling
Centre for Computational Chemistry
School of Chemistry - University of Bristol
Bristol BS8 1TS - United Kingdom
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Received on Mon Nov 13 2017 - 04:00:05 PST
