You are reading the documentation for version 3.0 of ProMod3. You may also want to read the documentation for: 1.3 2.0 2.1

# Getting Started¶

## Get and Run ProMod3¶

First steps to get ProMod3 up and running:

1. Fetch the source code from https://git.scicore.unibas.ch/schwede/ProMod3.git. Or directly pull it with git:

$git clone https://git.scicore.unibas.ch/schwede/ProMod3.git <DIR>  2. Obtain all dependencies and compile ProMod3 with cmake and make (see here). 3. Ensure that you have a stage/bin folder which includes a pm executable. For convenience, add the folder to your PATH env. variable. 4. You can now execute ProMod3 by running the following in your terminal: $ pm <COMMAND>


Here <COMMAND> can be:

• a predefined “action” (see here)

• the path to a python script, such as the following example:

from ost import io
from promod3 import loop

# generate backbone with dihedrals of a helix and store it
sequence = "HELLYEAH"
bb_list = loop.BackboneList(sequence)
io.SavePDB(bb_list.ToEntity(), "test.pdb")


The execution of this script should generate a test.pdb file, which you can visualize with any pdb reader (e.g. dng from OST).

## Modelling pipeline¶

ProMod3 is meant to help you perform operations for protein homology modelling. Commonly, your input is a template structure and an alignment of the template to the desired target sequence. The modelling steps then are:

Since a good amount of time is spent in OpenMM routines to minimize energy, we try to use the fast and multi-threaded “CPU” platform of OpenMM (should be included and working on any hardware supported by OpenMM). If the platform is not available, we use the slower “Reference” platform. For the “CPU” platform, multiple CPU threads can be used by setting the env. variable PM3_OPENMM_CPU_THREADS to the number of desired threads. If the variable is not set, 1 thread will be used by default.

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