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Built to make bioinformatics accessible, ProteinIQ is the easiest way to do science. Run AlphaFold2, Boltz-2, RFdiffusion3, and 50+ other tools. No setup, no queues, no infrastructure.

Chai-1

EGFR kinase with gefitinib (cancer drug target)

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View all plans and compare features

The latest state-of-the-art models

Predict structures with AlphaFold 2 and Boltz-2. Design proteins with RFdiffusion3. Generate binders with BoltzGen. All running on A100, H200, & B200 GPUs.

AlphaFold2

AlphaFold2

AlphaFold2 via ColabFold for high-accuracy protein structure prediction. Uses MMSeqs2 API for MSA generation with no local databases required. Supports monomer and multimer prediction.

protein-foldingstructure-prediction+4
Boltz-2

Boltz-2

Boltz-2 is a biomolecular foundation model for structure and binding affinity prediction. Supports proteins, ligands, DNA, and RNA in multi-component complexes. Automatically scales GPU resources for large complexes. Predicts binding affinity with near-FEP accuracy at 1000x faster speed.

protein-foldingstructure-prediction+5
Chai-1

Chai-1

Chai-1 is a multi-modal foundation model for molecular structure prediction. Predicts 3D structures for proteins, ligands, DNA, RNA, and multi-component complexes with high accuracy.

protein-foldingstructure-prediction+6
RFdiffusion3

RFdiffusion3

All-atom generative diffusion model for protein design with complex constraints. Design binders, enzymes, and symmetric protein assemblies.

protein-designbinder-design+4
BoltzGen

BoltzGen

BoltzGen is a state-of-the-art AI model for designing protein and peptide binders against any biomolecular target. Using generative diffusion models, it creates novel binders (proteins, peptides, nanobodies) with nanomolar-level binding affinity.

binder-designai-powered+5
ESMfold

ESMfold

ESMfold is a fast, single-sequence protein structure predictor from Meta AI. Predicts 3D protein structures directly from amino acid sequences without requiring multiple sequence alignments (MSA), making it significantly faster than AlphaFold.

protein-foldingstructure-prediction+2
OpenFold-3

OpenFold-3

OpenFold-3 is an open-source AI model for biomolecular structure prediction, aiming to reproduce AlphaFold3. Predicts 3D structures for proteins, RNA, DNA, and small molecule ligands with high accuracy.

protein-foldingstructure-prediction+6
RosettaFold3

RosettaFold3

Open-source structure prediction neural network for proteins, nucleic acids, and small molecules. State-of-the-art accuracy with multi-chain support.

protein-foldingstructure-prediction+5

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