When presenting molecular models, clarity is everything. Whether you are communicating with collaborators, students, or writing a publication, the timing and visibility of different components in a scene can dramatically affect understanding. That’s where the “Shown” animation effect from the…

Defects in crystals are a central topic when studying material properties, especially in semiconductors, ionic conductors, and many catalysts. While perfect crystals might be ideal starting models, real materials almost always include imperfections like vacancies and substitutions. But simulating these…

Molecular modelers often spend significant time analyzing the pathways between two conformations of a molecule: from binding and folding events to transitions between states discovered via simulations. While forward trajectories are the norm, playing them in reverse can offer unique…

For molecular modelers aiming to calculate accurate free energy profiles along reaction coordinates, Umbrella Sampling is a common go-to. But an often overlooked challenge is selecting the right set of initial conformations. Too few, and your sampling may be insufficient.…

A common bottleneck for researchers preparing molecular systems for GROMACS simulations is dealing with index groups. Whether you’re setting up umbrella sampling, defining distance restraints, or tracking domains across simulations, you often need to define custom selections beyond the standard…

When preparing molecular animations, one common challenge is to selectively emphasize particular components of a system—be it a ligand, a protein domain, or a cofactor—at specific points in time. Traditional methods might rely on changing opacity or tweaking rendering styles.…

If you’re trying to understand how a ligand might leave a protein’s binding pocket, the Ligand Path Finder app in SAMSON offers a powerful method to simulate ligand unbinding pathways. But there’s one subtle yet crucial step that can make…

One of the constant challenges faced by structural biologists and molecular modelers is trying to compare only a specific region of interest within proteins. Protein structures are big, often composed of hundreds or thousands of residues, but researchers are frequently…