Simplifying Protein Structure Prediction with AlphaFold-2 in SAMSON
Accurate prediction of protein structures is essential in many areas of molecular modeling—from drug design to understanding protein function. However, running AlphaFold-2 locally can be technically demanding and resource-intensive, especially without top-tier GPUs and data setup. For many researchers and…
Understanding Node Types in SAMSON: A Key to Smarter Molecular Modeling
Controlling the Search Space in Protein Docking with Hex in SAMSON
A Better Way to Integrate Your Tools with SAMSON
Design in the Dark: Why Switching to Dark Mode in SAMSON Might Help You Work Better
Quickly Surround Proteins with Lipid Bilayers in SAMSON
From Rings to Tubes: Building Carbon Nanotubes in SAMSON
Get Cleaner Models Faster: Tuning Builder Preferences in SAMSON
Including Ligands and Modifications in Your Structure Predictions with Boltz-2
One of the challenges many molecular modelers face is the ability to predict biomolecular structures that go beyond plain protein sequences. If you’re a researcher working with protein-ligand systems, modified nucleotides, or hybrid biomolecules, you’ve likely encountered limitations in traditional…






