Predicting...

Built for

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)

The latest state-of-the-art models. From predicting structures with AlphaFold 2 and Boltz-2 to generating 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.

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.

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.

RFdiffusion3

RFdiffusion3

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

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.

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.

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.

RosettaFold3

RosettaFold3

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

Built by scientists for scientists

Trusted by leading institutions

Used by researchers at Harvard, Roche, Thermo Fisher, Cambridge, and 40+ institutions worldwide.

Your data stays yours

Files are processed and deleted. We don't store your sequences or structures beyond your session.

GPU acceleration

Jobs run on NVIDIA B200, H200, & A100 GPUs. Get results in minutes, not days.

No setup, no queues

Upload your data, click run, download results. No installation, no dependencies, no waiting.

Try ProteinIQ now.