A Simple Way to Select Atoms with Mathematical Precision

Selecting specific atoms in large molecular systems can be time-consuming and error-prone—especially when working with complex structures like proteins, nucleic acids, or crystalline materials. If you’re a molecular modeler frustrated with manual selection tools or the limited filtering options in…

Protein folding in minutes: AlphaFold-2 predictions in SAMSON

Predicting protein structures has long been a time-consuming challenge. Even with the advent of deep learning models like AlphaFold-2, integrating such powerful algorithms into your workflow can feel daunting. But what if you could launch an AlphaFold-2 structure prediction directly…

Improving Ligand Unbinding Pathways with P-NEB in SAMSON

For molecular modelers working with complex ligand-protein interactions, understanding unbinding processes often means exploring energy landscapes – and that usually includes optimizing transition paths. This is where SAMSON’s Parallel Nudged Elastic Band (P-NEB) app comes in. If you’ve generated unbinding…

Easily Animate Atomic Movement with Keyframes in SAMSON

Molecular modelers sometimes need to visually represent atomic motion in custom ways—for simulations, presentations, or educational purposes. But creating smooth, controllable animations without writing code can be a challenge. This is where SAMSON’s Move atoms animation comes in handy. If…