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MD Simulation

How to calculate number of steps (nsteps) for MD simulation run?

Dr. Muniba Faiza
Last updated: April 10, 2023 12:41 pm
Dr. Muniba Faiza
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2 Min Read
How to calculate number of steps (nsteps) for MD simulation run?
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While doing molecular dynamics (MD) simulation, it can be difficult to calculate the number of steps or nsteps for an MD run accurately. In this article, we will learn to calculate nsteps for an MD run.

Contents
  • For 1 ns simulation
  • For 100 ns simulation

When we prepare the MD run file (md.mdp) in the GROMACS simulation, we need to write the exact number of steps depending on the length of the simulation in nanoseconds (ns). How many ns a simulation will run is determined by providing the nsteps in the md.mdp file. That’s how we do it.

For 1 ns simulation

Let’s assume time in ns is x and 1000 ps = 1 ns, therefore, the general equation will be:

nsteps * timestep (ps/step) = 1000 * x ps = x ns

So, if you want to run MD for 1 ns, then the equation will be,

x (nsteps) * 0.002 time (ps/step) = 1 ns ###The timestep in production MD runs (dT) is 2 fs (i.e., 0.002 ps).

x (nsteps)  = 1000 ps/ 0.002 time (ps/step)

x (nsteps)  =  500000

500000 (nsteps) * 0.002 time (ps/step) = 1000 ps = 1 ns

The number of steps for a 1 ns simulation will be 500000.

For 100 ns simulation

If you want to run an MD simulation for 100 ns, then the equation will become like this:

x (nsteps) * 0.002 time (ps/step) = time in ps (time in ns) ###The timestep in production MD runs (dT) is 2 fs (i.e., 0.002 ps).

0.002 * x (nsteps)  = ns

0.002 * 50000000  = 100000 ps = 100 ns

0.002 * x (nsteps)  = 100000 ps = 100 ns

x (nsteps)  = 100000 ps/ 0.002 time (ps/step)

x (nsteps)  =  50000000

Therefore, the final equation will be:

50000000 (nsteps) * 0.002 time (ps/step) = 100000 ps = 100 ns

The number of steps for 100 ns simulation will be 50000000.


 

TAGGED:Gromacsmd simulationnsnsteps
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ByDr. Muniba Faiza
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Dr. Muniba is a Bioinformatician based in New Delhi, India. She has completed her PhD in Bioinformatics from South China University of Technology, Guangzhou, China. She has cutting edge knowledge of bioinformatics tools, algorithms, and drug designing. When she is not reading she is found enjoying with the family. Know more about Muniba
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