A molecular modeling task can involve many small, familiar actions: preparing a structure, applying the same settings, running an analysis, and collecting the result. The first time, the sequence may feel straightforward. The tenth time, repeating it by hand becomes tedious—and it becomes harder to remember whether every run followed the same steps.
Automation can help with this kind of friction. In SAMSON, the documentation points to two related paths: use Python scripting for workflows inside the platform, and explore extensions when you need additional capabilities or want to understand how extensions are developed and distributed.
Start with the repeated work
Before writing a script, identify one task you repeat. Write down its inputs, the actions you take, and what you consider a successful result. This simple inventory helps separate steps that can be standardized from decisions that still require your judgment.
For example, you might notice that you repeatedly carry out the same sequence during a modeling or analysis task. The useful question is not “Can everything be automated?” but “Which repeated steps would benefit from being performed consistently?” A small, clearly defined workflow is easier to review than an ambitious script whose purpose is difficult to explain.
Use scripting as the automation starting point
The Scripting guide is the recommended starting point for automation, reproducibility, and Python workflows inside SAMSON. The documentation describes an integrated Python environment, package management, running scripts, and embedding scripts or apps in documents.
That range matters because automation is not only about saving a few clicks. A script can make a sequence of actions easier to repeat, while embedding a script or app in a document can help keep a scripted workflow alongside the document in which it is used. When sharing or revisiting work, this can make the workflow easier to find than a separate collection of notes and files. Treat the script as part of the explanation of how you reached a result: name its purpose clearly and document any assumptions that matter to someone rerunning it.
Make repeatability practical
A useful workflow should be understandable as well as repeatable. Before relying on automation, consider checking that the intended inputs are present, noting any settings that affect the outcome, and reviewing the result after the script runs. These are general workflow habits, not a substitute for understanding what the script does.
It can also help to begin with a limited test case. Compare the scripted sequence with the manual process you already trust. If the outcomes differ, investigate before using the script more broadly. The aim is not to remove scientific judgment; it is to reduce avoidable variation in routine actions so that your attention can stay on the modeling questions.
Know when to look at extensions
Python scripting and extensions solve related but different needs. If your immediate goal is to automate a task or package a scripted workflow, start with Scripting. If you want to install additional capabilities, or learn about the SDK and extension development and distribution path, continue to Extending SAMSON.
You do not have to explore both paths at once. If built-in capabilities are enough for your current work, extension management can wait. If you are not writing Python or embedding scripts, you can skip the scripting path for now. Choosing the section that matches your immediate need keeps the learning process focused.
A small first step
Choose one repetitive task, describe the sequence in plain language, then use the scripting guide to explore how to carry it out in SAMSON. Once you have a workflow worth reusing, consider whether embedding it in a document would make it easier to revisit or share. Only move on to extensions if you need capabilities beyond your current setup or want to explore development.
For the full overview and recommended reading order, see Automate and extend.
Note: SAMSON and all SAMSON Extensions are free for non-commercial use. Get SAMSON.