ProteinIQ: Code-free bioinformatics tools

Popular tools

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Boltz-2

State-of-the-art biomolecular structure prediction

Chai-1

Multi-state protein structure prediction

DiffDock

Diffusion-based molecular docking

ProteinMPNN

Deep learning protein sequence design

RFdiffusion

De novo protein backbone generation

AutoDock Vina

Fast molecular docking

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New tools

ESM-2

ESM-2 is a 650M parameter protein language model from Meta AI trained on 250M protein sequences. Generate rich sequence representations for downstream tasks like structure prediction, function annotation, and variant effect prediction.

ESM-IF1

Inverse folding with ESM-IF1. Design protein sequences for given 3D backbone structures using a geometric deep learning model. Generate multiple sequence variants optimized for your target structure.

Hydrophobicity plot

Generate hydrophobicity plots using 24 different amino acid scales. Visualize hydrophobic and hydrophilic regions for protein analysis, epitope prediction, and membrane protein studies.

RFdiffusion3

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

RosettaFold3

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

PROPKA 3

Predict pKa values of ionizable groups in proteins based on 3D structure. PROPKA calculates the pKa shifts caused by the protein environment for ASP, GLU, HIS, CYS, TYR, LYS, ARG, and terminal groups.