Enhancing Depth Perception: Ambient Occlusion in SAMSON

One of the challenges molecular modelers face is achieving clear depth perception in complex molecular scenes. Accurately visualizing structures and their spatial relationships is crucial, but intricate molecular systems can make this task daunting. This is where Ambient Occlusion in…

Mastering Nanotube Creation in SAMSON: A Step-By-Step Guide.

For molecular modelers, creating accurate nanostructures—like carbon nanotubes (CNTs)—can often be a painstaking process, requiring precision and efficiency. Whether it’s designing nanodevices, modeling molecular transport systems, or studying the electronic properties of materials, a robust tool to simplify CNT creation…

Streamlining Protein Structure Predictions with AlphaFold-2 in SAMSON.

For molecular modelers, accurately predicting protein structures is a constant challenge, often compounded by limited computational resources and time constraints. Fortunately, the Biomolecular Structure Prediction (BSP) extension within SAMSON offers a practical solution by enabling efficient cloud-based predictions using AlphaFold-2.…