
Now we can run molywood in sample mode and display only:

Now we can manually check that indeed all the dependencies are installed in our computer:Īs we can see, VMD and ImageMagick were already installed in /usr/local/bin/, while ffmpeg has been installed in the molywood environment. The next step is to activate the recently created molywood environment: In the example above, the molywood-gen-env helper has not found ffmpeg, so it has created a new conda environment named molywood in which it's installed this dependency. # To deactivate an active environment, use Type 'n' to create a new one, or 'u' to update existing one:Īfter create or update the environment we must wait a bit while the molywood-gen-env helper installs all the missing dependencies in the environment:Ĭollecting package metadata (repodata.json): done (might take up more space), or only add dependencies to the current one In case you had installed molywood in a conda environment, the molywood-gen-env helper will ask you if you want to add the missing dependencies in the current environment or if you want to create a new environment:ĭo you want to create a new conda environment called "molywood" molywood-gen-env: helper for creating a new conda environment in case any dependencies are missing.So now we have two applications installed: (or 'conda activate molywood', depending on your conda setup) to activate the virtual environment. (provided that molywood was installed via pip), and then type

|████████████████████████████████| 52 kB 423 kB/sīelow we can see the output in case we try to execute molywood and the application find out some missing dependencies: If this is not your case, please go back to the tutorials page and choose the one more suitable to your case.ĭownloading molywood-0.153-p圓-none-any.whl (52 kB)
Vmd installation install#
Here you have an installation tutorial for install Molywood in case you have some of the dependencies already installed (e.g.

The molywood tool has been developed in Python version 3 and therefore it must be run over a Python 3 installation or environment.
