Giter VIP home page Giter VIP logo

Comments (2)

peastman avatar peastman commented on June 10, 2024

You can do something like this to print out the current distance:

positions = simulation.context.getState(getPositions=True).getPositions()
print(norm(positions[94]-positions[67]))

If you want to record it periodically during the simulation you might do something like

distances = []
for i in range(n):
    simulation.step(1000)
    positions = simulation.context.getState(getPositions=True).getPositions()
    distances.append(norm(positions[94]-positions[67]).value_in_unit(nanometers))

Another option is that you just record your whole trajectory to a DCD or XTC file. Then you can use a tool like MDTraj or MDAnalysis to analyze it later and extract the distances.

from openmm.

tractatus avatar tractatus commented on June 10, 2024

@peastman thanks for the super quick response!

I'll play around with this over the weekend and see where I get and then post a reproducible example here for anyone else who might be interested in this for the future, and then close this issue.

from openmm.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.