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Run AlphaFold 2, Boltz-2, RFdiffusion, and 50+ other tools. No setup, no queues, no infrastructure.

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Chai-1

EGFR kinase with gefitinib (cancer drug target)

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 H100 GPUs.

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 is a biomolecular foundation model for structure and binding affinity prediction. Supports proteins, ligands, DNA, and RNA in multi-component complexes. Predicts complex geometries and binding affinity with near-FEP accuracy at 1000x faster speed.

protein-foldingstructure-prediction+5

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

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

protein-designbinder-design+4

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 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 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

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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Every aspect of ProteinIQ is designed for researchers who need reproducible, citable, and trustworthy results.

Peer-Reviewed Methods

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Reproducible Results

Version-locked environments ensure identical outputs. Share parameters and collaborators get the same results.

Citable Outputs

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Tools for every workflow

A comprehensive suite of bioinformatics tools.
From sequence analysis to de novo protein design.

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