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.…

Mastering Backbone Attributes in Molecular Modeling

Molecular modelers often face challenges when analyzing and manipulating complex structures. One such challenge lies in efficiently querying and filtering specific structural properties within molecular backbones. For users of the SAMSON molecular design platform, leveraging the backbone attribute space in…

Why Understanding Importers in Molecular Modeling Matters

Molecular modelers often face challenges when bringing data into their modeling environment. Whether you’re working with PDB files, electron density maps, or large-scale molecular meshes, ensuring compatibility with your software is crucial. In SAMSON, importers play a key role in…