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Understanding molecular systems is often about more than just numbers—it’s about seeing the structure, interactions, and properties in ways that make patterns and behaviors intuitively clear. That’s where visual models in SAMSON come in. For molecular modelers, one recurring challenge…

If you’re spending a lot of time toggling between complex molecular data and trying to understand the structure’s shape, behavior, or properties, you’re not alone. One of the most common challenges in molecular modeling is bridging the gap between raw…

When studying molecular mechanisms like ligand unbinding, conformational transitions, or sampling along reaction coordinates, one common challenge arises: how to extract atomic trajectories for further analysis or input to other software packages. For researchers using SAMSON, the Export Along Paths…

For any molecular modeler dealing with complex structures, visualization isn’t just a convenience — it’s essential. Whether preparing publication images, presentations, or simply exploring molecular systems, manually adjusting representations, colors, visibility, and selections can quickly become repetitive and time-consuming. Visual…

When analyzing molecular dynamics simulations or visualizing chemical reactions, it’s easy to lose track of the parts of the molecule you’re most interested in. As atoms shift, rotate, and translate across frames, it can be tedious to continuously reposition the…

When working on complex molecular models, clarity is key. Visualizing structural measurements like bond lengths or angles is essential—but what’s equally important is how these measurements are displayed. Without appropriate visual cues, it’s easy for annotations to clutter your workspace…

When working with complex molecular systems, clarity can make all the difference. Whether you’re preparing a visual presentation, creating educational content, or just trying to understand your model better, sometimes you need to peel apart layers of atoms and structures…

One of the challenges in performing Umbrella Sampling for free energy calculations is obtaining a good set of initial conformations spaced appropriately along a reaction coordinate. Too few or poorly spaced conformations can lead to inaccurate results or wasted computational…

For molecular modelers, the ability to see the system they work on is a key part of understanding, interpreting, and communicating results. Whether you’re looking at atomic arrangements, protein folding, or electrostatic maps, meaningful visualizations go beyond aesthetics—they are functional…

Creating molecular dynamics models with multiple protein replicas is a common task for molecular modelers studying crowding effects, self-assembly, or large biomolecular systems. However, a hidden pitfall often emerges when preparing these models for coarse-graining: inconsistent or conflicting residue and…