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SettingsResearch demo · not for clinical or commercial use
Corollary
  1. Catalog
  2. Protein Structure
  3. AlphaFold2

Protein Structure · DeepMind (served as BioNeMo NIM)

AlphaFold2

The reference MSA-based predictor, with managed MSA search included.

Verify the licence before commercial useThe Apache 2.0 (code) licence carries terms worth reading before you depend on it.Apache 2.0 (code)
Availability
Ready
Typical latency
3.0min
Credits per run
~490
Compute tier
B · Standard

30s–5min

Runs on Managed GPU endpoint

Runs on managed compute. Availability and startup time depend on current capacity.

Run this model

AlphaFold2

Single-letter amino acid code. Whitespace and FASTA headers are stripped automatically.

Needs protein sequence

About this model

AlphaFold2 remains the accuracy benchmark for monomeric folding when a deep multiple sequence alignment is available. Corollary routes to the managed NIM deployment so you never build an MSA pipeline yourself; expect minutes rather than seconds in exchange for the alignment-derived accuracy.

Reported performance

CASP14 GDT_TS
92.4

Standardized I/O contract

Every model in the Hub speaks the same contract, which is what lets the Router and the agent call any of them without special-casing.

Inputs

  • sequencesequence · required

    Protein sequence

Outputs

  • pdbstructure

    All-atom coordinates in PDB format, viewable and downloadable.

  • plddtvector

    pLDDT score per residue (0–100). Above 70 is generally reliable.

Specification

Hardware
1× A100 40GB
GPU memory
40 GB
Version
2.3.2
Licence
Apache 2.0 (code)
Backend
ReadyManaged GPU endpoint
MCP server
mcp-protein-server

Tasks

structure prediction

Chains well with

  • ProteinMPNNInverse folding: given a backbone, design sequences that actually fold onto it.
  • DiffDockDiffusion docking: 38% top-1 success versus 23% for classical AutoDock.
foldingmsareference