Author: OneAngstrom

Communicating the behavior and interactions of molecular systems is rarely straightforward. Whether you are preparing material for a presentation, teaching structural biology, or generating content for a paper, showing how molecules move and interact over time is a common challenge.…

Navigating large molecular systems and constantly switching between visual representations or performing repetitive cleaning tasks can be slow and unintuitive — especially when done through nested menus and buttons. If you’ve ever wished you could simply tell your modeling platform…

In molecular modeling, one common challenge is selecting specific subsets of atoms based on precise spatial or structural criteria. Whether you’re preparing a simulation, analyzing results, or designing nano-objects, you often need to identify atoms that meet certain conditions—for example,…

A common challenge in molecular modeling—especially in nanotechnology and materials science—is constructing large, periodic structures like carbon nanotubes (CNTs). These structures are often composed of repeated rings or motifs, and manually placing each unit is time-consuming and error-prone. If you’ve…

When working with protein-ligand complexes in solution, interpreting ambiguous NMR signals can be tricky. The NMR2 extension in SAMSON helps resolve these ambiguities using spatial restraints to predict complex structures. But to benefit from the algorithm, the first step—defining your…

Visualizing complex molecular systems can be surprisingly time-consuming. If you’re a molecular modeler, you probably know the drill: load your structure, apply styles, color atoms, hide waters, zoom to region of interest, repeat. What if you could automate these repetitive…

Presenting molecular models effectively isn’t just about showcasing atoms and bonds — it’s about guiding your audience through a story. Whether you’re presenting a docking simulation or illustrating molecular interactions, how your camera moves in a presentation can make a…

When visualizing molecular trajectories or complex conformational changes, it’s often necessary to focus on a specific part of the system that changes position over time. However, manually adjusting the camera to keep that part in view during a dynamic simulation…

When working with complex molecular systems, clarity is essential. Whether you’re highlighting different protein chains, annotating functional domains, or distinguishing between ligands and cofactors, visual differentiation helps you and others understand your molecular model more effectively. This is where discrete…

If you’ve ever found yourself tediously clicking through atoms, residues, or chains to isolate just the right part of your molecule, you’re not alone. Molecule modelers often face the task of selecting specific parts of complex structures—be it a ligand,…