Struggling with molecular data formats? Here’s how SAMSON helps.
From Ring to Tube: Constructing Carbon Nanotubes Manually in SAMSON
Designing nanostructures like carbon nanotubes can be tedious when you’re confined to repetitive manual replication and alignment. For computational chemists, nanomodelers, and molecular designers, the lack of intuitive pattern generation tools has been a long-standing bottleneck—especially when aiming to preserve…
Turning Commands into Code: How SAMSON AI Helps Molecular Modelers Write Python Scripts
Create Slide-Like Breaks in Molecular Animations with the Stop Effect
Simplifying Protein Structure Prediction with AlphaFold-2 in SAMSON
Accurate prediction of protein structures is essential in many areas of molecular modeling—from drug design to understanding protein function. However, running AlphaFold-2 locally can be technically demanding and resource-intensive, especially without top-tier GPUs and data setup. For many researchers and…




