Spotting Hidden Molecular Backbones with SAMSON’s NSL

When working with complex molecular systems, it’s common to end up with visual clutter. Backbones, structural groups, side chains, and other entities can overlap, coexist, and sometimes hide from view—literally. That’s when being able to find and filter out exactly…

Choosing the Right Symmetry Group in Large Protein Assemblies

When working with large macromolecular complexes—such as viral capsids or multi-subunit protein assemblies—molecular modelers often encounter one frustrating question: What symmetry best represents this structure? Identifying the correct symmetry group is not just about visualization—it’s about improving the quality and…

Simulating Defects in Diamond with SAMSON’s Crystal Creator

Understanding how defects impact the properties of crystalline materials is a crucial task for materials scientists, physicists, and molecular modelers. Defects in crystal lattices can significantly affect mechanical strength, conductivity, optical behavior, and other physical properties. However, visualizing and simulating…

Prevent unwanted camera drift when animating molecular systems

When creating animations of molecular systems, you’re often focused on illustrating detailed transitions—like conformational changes, ligand docking, or energy minimizations. But there’s a subtle issue that many researchers encounter: the camera viewpoint can drift between frames unintentionally, especially if no…

Streamline Your Molecular Workflow with SAMSON AI’s Python Scripting

Writing Python scripts for molecular modeling often involves switching between documentation, coding environments, and visualization tools. For researchers and students working with complex simulations, simple tasks—like transforming atoms or building interfaces—can become time-consuming due to repetitive coding and context switching.…

Quickly Select Atoms by Geometry with NSL in SAMSON

When modeling molecules, filtering atoms by chemical properties or structural features is an everyday task. Yet, for many molecular modelers, selecting atoms by geometry—like tetrahedral or octahedral configuration—can still be a tedious, time-consuming process, especially when working with large systems.…