Molecular modelers often need to dive deep into the structural organization of molecules and their interactions. Whether you’re studying solvation shell structures, local packing around a molecule, or the characteristic distances for interactions, understanding Radial Distribution Functions (RDF) can make…
For molecular modelers, selecting specific subsets of atoms and residues around ligands can often feel like solving a complex puzzle. Whether you’re focusing on mutagenesis experiments, contact analysis, or solvent displacement, defining precise selection criteria is an essential but time-consuming…
Molecular modelers often face the challenge of interpreting complex nanosystems effectively. Whether you’re analyzing a protein’s secondary structure or visualizing electrostatic fields, the right graphical representation can make all the difference in understanding your data. This blog post delves into…
Managing molecular models can be a detailed and often complex task, especially when working with intricate structures or large datasets. One common pain molecular modelers encounter is tracking and controlling node-specific properties efficiently. In the integrative molecular design platform SAMSON,…
