Designing carbon nanotube (CNT) models can often feel like a daunting task, especially when precision and efficiency are paramount. Whether you’re exploring nanodevices, molecular transport, or advanced material simulations, you need tools that simplify this highly technical work. This is…

For molecular modelers, automation and flexibility are critical to effective workflows. Repetitive tasks, lengthy computation setups, or custom data processing can waste valuable time. Fortunately, SAMSON—an integrative molecular design platform—offers a solution: the Python Console. This powerful feature enables users…

As a molecular modeler, you want to keep your eyes on the details that matter the most, even as systems are in motion. Whether it’s tracking a ligand interacting with its binding site or observing a dynamic process within a…

Molecular modelers often face the challenge of efficiently optimizing transition paths between two states of a system. These paths are crucial for understanding molecular mechanisms, such as ligand binding or unbinding, conformational changes, and catalytic processes. However, generating a realistic…

When creating molecular presentations, one common challenge is effectively highlighting changes or dynamics in a visually intuitive way. If you’re looking to gradually hide certain atoms or bonds in your molecular model for better storytelling or targeted presentation, the Conceal…

Molecular modelers frequently encounter challenges when preparing and optimizing complex systems for accurate protein-ligand docking. Time-consuming preparation steps, such as cleaning up structural files, optimizing ligand geometry, and setting up flexible docking workflows, can be a bottleneck in the design…

Running production molecular dynamics (MD) simulations can be an intimidating step for molecular modelers, particularly when it comes to ensuring that all input structures and files are correctly prepared. If you’ve ever been at a standstill because of incomplete input…