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When working with molecular dynamics simulations, one of the common challenges is maintaining a clear view of specific parts of a system as they evolve over time. Whether you’re following a ligand binding to a receptor, monitoring a conformational change,…

Preparing input files for molecular dynamics (MD) simulations can often feel more complicated than the simulations themselves. If you’ve ever found yourself re-tracing project folders to locate the right .gro file after energy minimization, you’re not alone. This post focuses…

Creating compelling molecular animations can be time-consuming — especially when shifting between research tools and video editing software. Molecular modelers often face the challenge of clearly explaining dynamic phenomena such as docking, conformational changes, or assembly mechanisms. Static images often…

As molecular modelers, we often deal with complex structures, from proteins to nanomaterials. When visualizing these assemblies, color plays a critical role in separating elements, highlighting features, or simply making models easier to interpret. But selecting colors manually each time…

Collaborative molecular modeling projects often involve more than just structural data: Python scripts, research articles, experimental data, machine learning models, and various other resources contribute to replicability and transparency. But organizing and sharing these assets alongside complex molecular systems tends…

For many molecular modeling tasks, especially those involving large biological assemblies like viral capsids or protein complexes, understanding molecular symmetry can save time and reduce complexity. But automatic symmetry detection isn’t perfect—sometimes, you already know the answer, and it’s best…

Have you ever wanted to create a smooth camera flyby around a molecular structure but felt overwhelmed by animation timelines or manual camera scripting? If you’re a molecular modeler trying to present your system in a visually engaging way—for a…

When working on complex molecular structures in SAMSON, navigating efficiently between different viewpoints can significantly improve your productivity and understanding of the system. Whether you’re analyzing binding pockets, exploring lattice arrangements, or reporting structure-function relationships, switching views without hassle is…

Molecular dynamics (MD) simulations often require targeted control or analysis of specific parts of a structure—for example, calculating forces on side chains, analyzing water clusters, or applying constraints to ligand atoms. GROMACS automatically generates standard atom groups (like Protein, Water,…