Re: [AMBER] MMPBSA doubt

From: Ray Luo <rluo.uci.edu>
Date: Tue, 22 Mar 2016 11:08:51 -0700

I meant the second choice (1-10ns, 1-20ns, 1-30ns etc) is how to check
cumulative average.

If this is still confusing, I suggest you read some papers on free
energy simulations. Convergence check is not trivial in general.

All the best,
Ray
--
Ray Luo, Ph.D.
Professor
Biochemistry, Molecular Biophysics, Chemical Physics,
Chemical and Biomedical Engineering
University of California, Irvine, CA 92697-3900
On Tue, Mar 22, 2016 at 2:43 AM, Mary Varughese <maryvj1985.gmail.com> wrote:
> Sir,
>
> This is a nucleic acid-ligand complex. i do single trajectory 15ns trial
> which failed and then a  multiple trj 10 ns . which also failed. in both
> cases i do mmpbsa over a 3 ns of the trj to the  max with freq 50 so that
> 60 frames. It worked with other ligands (which were more rigid).
>
>  did u mean, 1-10 ns, then 1-10 ns, then 1-10 so on or
>                         1-10 ns, then 1-20 ns then 1-30 so on?
>
> sir, you usually do mmpbsa over the whole trajectory (isnt it highly memory
> intensive and time consuming?)? for both single and multiple approach?
>
>
>
> thanking you
>
> mary
>
>
>
>
>
> On Tue, Mar 22, 2016 at 11:41 AM, Ray Luo <rluo.uci.edu> wrote:
>
>> Mary,
>>
>> Very likely it is due to the lack of convergence. Assuming that your
>> MD behaves well, i.e. not unfolding the protein etc. 10ns seems very
>> short for multi-traj MMPBSA of typical-sized proteins.
>>
>> A straightforward but slow way to check convergence is to restart your
>> MD for 10ns each time and apply MMPBSA with snapshots from each of the
>> following sets of trajectories:
>>
>> 10ns, 20ns, 30ns, ... 100ns and so on.
>>
>> You'll get a MMPBSA average energy for each of the above sets. Plot
>> these cumulative average energies versus the simulation times (10ns,
>> 20ns, ..., 100ns, and so on) and you'll see whether the cumulative
>> average is converged, i.e. not changing much any more.
>>
>> Of course if you have a good statistical software, you may be able to
>> get a plot of the cumulative average over simulation time given all
>> the snapshots at once (for example all of the 100ns).
>>
>> All the best,
>> Ray
>> --
>> Ray Luo, Ph.D.
>> Professor
>> Biochemistry, Molecular Biophysics, Chemical Physics,
>> Chemical and Biomedical Engineering
>> University of California, Irvine, CA 92697-3900
>>
>>
>> On Mon, Mar 21, 2016 at 7:06 PM, Mary Varughese <maryvj1985.gmail.com>
>> wrote:
>> > Sir,
>> >
>> > Infact i have tried multiple trajectory approach also (10 ns trajectory).
>> > But didnt get any favorable result.
>> >
>> > May be because i havent considered "make sure the average
>> > delta G has converged by checking cumulative averages of all three
>> > runs (complex, receptor, and ligand)". Would you please explain
>> cumulative
>> > average?
>> > And also about entropy estimation. ? It would be really helpful.
>> >
>> > Thanking you for your time and reply
>> >
>> > mary
>> >
>> >
>> > On Tue, Mar 22, 2016 at 6:09 AM, Ray Luo <rluo.uci.edu> wrote:
>> >
>> >> Hi Mary,
>> >>
>> >> If you have a flexible ligand, the single trajectory approach is
>> >> probably not the best way to go. Please try the multi-trajectory
>> >> approach. Apparently, a key point here is to make sure the average
>> >> delta G has converged by checking cumulative averages of all three
>> >> runs (complex, receptor, and ligand). However, some sort of entropy
>> >> estimation is also important to take into account the conformational
>> >> flexibility in the delta G calculation.
>> >>
>> >> All the best,
>> >> Ray
>> >> --
>> >> Ray Luo, Ph.D.
>> >> Professor
>> >> Biochemistry, Molecular Biophysics, Chemical Physics,
>> >> Chemical and Biomedical Engineering
>> >> University of California, Irvine, CA 92697-3900
>> >>
>> >>
>> >> On Fri, Mar 18, 2016 at 9:48 PM, Mary Varughese <maryvj1985.gmail.com>
>> >> wrote:
>> >> > sir,
>> >> >
>> >> > these are the files used to calculate PBTOT and entropy. I have done
>> it
>> >> > with other ligands(more rigid ligands) successfully. The problem here
>> is
>> >> > that the current ligand is half part flexible(a  ch2-ch2-ch2-ch3
>> flexible
>> >> > chain). Though the ligand bind experimentally and
>> >> theoretically(throughout
>> >> > the simulation time) the movement of the flexible region is causing
>> >> changes
>> >> > in PBTOT and entropy such that i cant get a statistically reliable
>> value
>> >> > (the final value obtained are highly positive; when i check the values
>> >> (BE)
>> >> > for each frame its deviating very much). The flexible part is causing
>> >> that.
>> >> >
>> >> > So i would like to know which strategy i should be adopted in such
>> cases.
>> >> >
>> >> >
>> >> > thanking you for ur reply
>> >> >
>> >> > On Sat, Mar 19, 2016 at 6:43 AM, Ray Luo <rluo.uci.edu> wrote:
>> >> >
>> >> >> Mary,
>> >> >>
>> >> >> Maybe a bit more info is helpful, i.e. your inpu file. Also please
>> note
>> >> >> that mmpbsa single trajectory approach is more useful for delta
>> delta G
>> >> >> estimation.
>> >> >>
>> >> >> All the best,
>> >> >> Ray
>> >> >> On Mar 16, 2016 5:20 PM, "Mary Varughese" <maryvj1985.gmail.com>
>> wrote:
>> >> >>
>> >> >> > Sir,
>> >> >> >
>> >> >> > I run some DNA-ligand1 complexes. Though the ligand remains bind
>> >> >> throughout
>> >> >> > the simulation, (the ligand binds experimentally also), I am not
>> >> getting
>> >> >> a
>> >> >> > favorable binding energy from MMPBSA (single trajectory approach).
>> The
>> >> >> > ligand has a CH2-CH2-CH2 chain on one end which causes the ligand
>> some
>> >> >> > movement (entropy changes) and hence a stable binding energy is not
>> >> >> > possible. Is there any other way to quantify the binding energy.
>> Would
>> >> >> you
>> >> >> > please suggest a reliable approach in such situations where the
>> ligand
>> >> >> has
>> >> >> > much flexibility?
>> >> >> >
>> >> >> > thanking you
>> >> >> > mary
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Received on Tue Mar 22 2016 - 11:30:04 PDT
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