Controlling the visibility of molecular structures during animated presentations is useful — and sometimes essential — in molecular modeling and communication. One common challenge modelers face is creating a smooth visual transition to hide parts of a complex system without…

When building or refining protein structures—whether from experimental data, homology modeling, or simulations—one common challenge is spotting conformational outliers that may introduce artifacts in downstream analyses. A residue that strays too far from allowed dihedral angles can destabilize simulations, distort…

Repositioning molecules is one of those routine tasks that can quickly become a bottleneck in molecular modeling workflows. Whether you’re preparing a simulation system, organizing figures for a presentation, or simply exploring molecular interactions, aligning structures precisely and efficiently is…

When modeling protein structures, especially those involved in viral entry mechanisms, capturing their motion from one functional state to another is often challenging. For molecular modelers investigating SARS-CoV-2 or designing therapeutics targeting protein conformations, having access to a visual and…

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…