When uncovering potential unbinding pathways for ligands within protein structures, molecular modelers often run into a common challenge: how to guide the search space efficiently to obtain biologically relevant paths without overly constraining or biasing the simulation. One practical tool in this context is the sampling box configuration in SAMSON’s Ligand Path Finder app.
The sampling box essentially defines the 3D region in which the active ARAP atoms of the ligand are allowed to explore during pathway searches. Properly setting this box is key to influencing how the ligand moves relative to the protein’s pocket.
Why Sampling Box Setup Matters
If the sampling box is too small, the ligand may not find meaningful unbinding routes. If it’s too large or misplaced, the search may waste computation time exploring irrelevant regions, or worse, produce unrealistic paths. Careful placement and dimension tuning can help direct the algorithm toward likely pathways and reduce noise in the final results.
Visualizing the Sampling Region
In SAMSON, the sampling box can be easily configured through the Set the sampling region panel in the Ligand Path Finder app. The box appears in green once defined, helping you visualize the space being explored.

Adjusting the Box Dimensions
SAMSON suggests an initial box size that encloses the ligand and protein atoms, but modelers can adjust the dimensions manually to favour exit directions of interest. For example, in the lactose permease case study, the box is biased toward the periplasmic side of the protein, a biologically meaningful direction for unbinding:

These presets are helpful, but it’s worth experimenting with different directions based on your system’s biology and the specific exit routes hypothesized.
Alignment Tips
To make the best use of the sampling box, align your system with the Cartesian axes—this helps ensure that the box boundaries match meaningful directions in the protein. SAMSON provides tools to rotate and align structures using Move editors and the Move selection context menu.
Visual Cues You Shouldn’t Ignore
When setting up the system, active ARAP atoms (usually ligand control atoms) will appear green, passive ones blue, and fixed atoms red. Make sure your selected atoms are correctly categorized, as these assignments influence the geometry and mechanics of the search.
Conclusion
Taking a few extra minutes to plan and fine-tune your sampling box can significantly improve the relevance and quality of your ligand unbinding pathway predictions. It’s a great way to focus computational resources where they matter most and to better reflect biological hypotheses in your modeling work.
To explore the entire Ligand Path Finder workflow, visit the full tutorial at this documentation page.
SAMSON and all SAMSON Extensions are free for non-commercial use. You can get SAMSON at https://www.samson-connect.net.
