OneAngstrom – Page 193

Why Your Molecular Models Might Be Confusing—and How Coloring Can Help

One of the most common challenges molecular modelers face is visual overload—too many atoms, residues, or chains can make it nearly impossible to focus or communicate your scientific point effectively. Whether you’re preparing a publication figure or simply trying to…

Easily Select Molecular Paths by Atom Count in SAMSON

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When designing molecular models, especially with large systems or during polymer and conformational studies, you may want to quickly isolate and inspect paths that meet specific structural criteria. One common need is identifying paths based on the number of atoms…

Making Molecular Visualization Less Repetitive: Save Your Own Presets in SAMSON

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Anyone working regularly in molecular modeling knows how repetitive and time-consuming setting up a clean, clear visualization can be. You may spend several minutes choosing representations, hiding solvent atoms, coloring chains, creating attractive figures—only to repeat the same steps a…

Breaking a Molecular Presentation into Slides: A Simple SAMSON Trick

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When preparing molecular presentations, many researchers face the challenge of pacing. Unlike classic presentation software, molecular animations often run linearly, leaving little space for pausing, discussing, or revisiting key moments on the fly. If you’ve ever tried explaining a complex…

Choosing Initial Conformations for Umbrella Sampling Without the Guesswork

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Molecular modelers using umbrella sampling often face a common challenge: selecting meaningful and well-distributed initial conformations. Poor choices at this early stage can lead to inefficient sampling or misleading Potential of Mean Force (PMF) results. Fortunately, the GROMACS Wizard in…

Stop Chasing Dependencies: A Simpler Way to Manage Python Packages in SAMSON

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Reproducibility and automation are essential in molecular modeling, yet many modelers struggle when it comes to managing Python environments. Switching between systems, sharing workflows, or simply setting up dependencies for simulations or AI-based modeling can often lead to frustrating environment…

How to Efficiently Create Protein Replicas for Coarse-Grained Simulations

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When setting up coarse-grained (CG) molecular dynamics simulations for systems containing multiple copies of the same protein—such as membrane assemblies or multimeric complexes—one common pain point is efficiently and correctly preparing these replicas. This involves not just duplicating the molecular…

Getting Comfortable in SAMSON: Customizing the Interface for Molecular Modeling

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Switching between different tools and windows is one of the biggest time sinks when modeling molecular systems. Whether you’re analyzing a protein structure, building ligands, or running simulations, flipping repeatedly between visualizers, inspectors, history panels, and asset libraries can disrupt…

Avoiding Topology Conflicts: How to Properly Renumber Chains and Residues for Coarse-Grained Modeling

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When working with protein systems that include multiple replicas—either for crowding simulations, protein-protein interaction analysis, or other ensemble-based studies—generating coarse-grained (CG) models using the MARTINI force field can be challenging if your atoms, chains, or residues aren’t uniquely identified. One…

Why Switching to the FIRE Minimizer Can Save Time in Molecular Modeling

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For many molecular modelers, the initial stages of a simulation can often be frustratingly slow. Before any meaningful analysis can begin, structures must be relaxed and optimized — and this step can become a bottleneck, especially for large or flexible…