ESMfold Online Free: Fast Protein Structure Prediction from Sequence
Predict a protein's 3D structure from its amino acid sequence in seconds using ESMfold in ChemOrchestra — no MSA, no queue, no local GPU.
Jul 18, 2026
Model
ESMfold
Input
Amino acid sequence
MSA step
Not required
ESMfold vs. AlphaFold2: the speed/accuracy trade-off
AlphaFold predicts structure by building a multiple sequence alignment (MSA) — collecting evolutionarily related sequences and using co-variation patterns between residues as a signal for 3D proximity. ESMfold instead uses a large protein language model trained directly on sequence data, predicting structure from a single sequence with no MSA lookup required. Skipping that search step is what makes ESMfold dramatically faster, at some cost to accuracy on sequences with few evolutionary relatives.
Running ESMfold in ChemOrchestra's workflow builder
Paste an amino acid sequence into the Folding node and run it — there's no database search, no queue, and no local GPU required. The predicted structure renders directly in the workflow canvas, ready to inspect or pass to the next node.
What to do with the predicted structure
A folded structure is most useful as an input to the next step, not an end in itself. Connect the ESMfold output directly to a Docking or Boltz-2 node to evaluate how a ligand or binder interacts with the predicted structure, without exporting files between separate tools.
When ESMfold isn't enough
For high-throughput triage — folding many candidate targets or variants to decide what's worth pursuing — ESMfold's speed makes it the practical default. For a specific target you're about to commit real synthesis or assay budget against, a higher-confidence structure prediction with a full MSA is worth the extra time. Use ESMfold to screen broadly, then confirm your shortlist with a deeper method before finalizing a target structure.