Multi-Step Workflows for Deeper Analysis
These pipelines chain multiple models together to tackle bigger questions — useful when a single structure prediction isn't enough on its own.
Explore how patient-specific mutations might create new targets for immune therapies, and how a designed receptor would bind to them.
- 1.Gamma models the receptor-target interaction
- 2.Delta evaluates how a candidate molecule would bind to the assembly
- 3.Results are scored and ranked automatically
Screen a large list of gene variants quickly to identify which ones are most likely to be structurally significant, then get detailed structural analysis on the top candidates.
- 1.Alpha screens all variants for a fast first-pass score
- 2.Top-ranked variants are automatically queued for detailed analysis with Delta/Beta
- 3.A summary table ranks all variants by predicted impact
Investigate how a resistant version of a target protein differs from the normal version, and test how well candidate molecules bind to each. Candidate molecules are drawn from real public compound databases (ChEMBL); binding simulation against your target requires a connected computation backend (see platform roadmap).
- 1.Beta docks candidate molecules against the normal target
- 2.The same molecules are docked against the resistant variant
- 3.Side-by-side comparison shows which candidates retain binding despite the resistance mutation
Model a viral surface protein in different conformations and identify which regions are the best targets for a vaccine to focus on.
- 1.Delta + Beta model the viral protein's different shapes
- 2.Gamma identifies and ranks candidate antibody-recognition regions
- 3.Results highlight the most promising target regions
Explore the range of shapes a misfolding-prone protein can take, and see where potential treatments might intervene.
- 1.Delta + Beta model multiple possible conformations of the protein
- 2.Results are compared to known experimental data where available
- 3.Candidate intervention points are flagged on the structure
Model ion channels and lipid-transport proteins relevant to heart conditions, and see how specific mutations affect their structure.
- 1.Delta models the full protein assembly
- 2.Alpha models the channel structure with the mutation highlighted
- 3.A summary explains the likely functional impact
Quickly screen a child patient's variant list to flag which ones are most likely to be clinically relevant, with structural explanations suitable for sharing with families.
- 1.Alpha rapidly screens all variants from the input list
- 2.Each variant gets a likelihood classification (likely pathogenic / likely benign / uncertain)
- 3.A plain-language summary is generated for each flagged variant
Explore proteins involved in aging-related pathways (DNA repair, cellular senescence, mitochondrial function) and screen candidate molecules against them.
- 1.Delta + Beta model key aging-pathway proteins
- 2.Beta + Gamma dock candidate molecules against these targets
- 3.Alpha screens related variants from reference datasets for structurally interesting patterns