The complete platform for computational protein design. Predict structures, refine models with machine learning, and translate your research to the wet lab — all in one place.
From structure prediction to wet lab translation — ProteinLab provides a complete computational biology workflow in a single, integrated platform.
Visualize protein structures in real-time with NGL Viewer. Rotate, zoom, and analyze with multiple representation modes.
Direct access to 200M+ AlphaFold predicted structures and the RCSB Protein Data Bank with 220K+ experimental entries.
Apply state-of-the-art ML methods including RFdiffusion, BindCraft, ESM2, and BoltzGen for structure optimization.
Run sequence alignment, motif detection, stability prediction, and binding site identification powered by AI.
Share protein models with team members, manage access permissions, and collaborate on research projects.
Export structures in PDB and mmCIF formats, download analysis reports, and integrate with wet lab workflows.
Access the latest machine learning models for protein design, from diffusion-based backbone generation to language model-guided sequence optimization. Each method is benchmarked and ready to apply to your research targets.
Seamlessly access AlphaFold, RCSB PDB, and UniProt databases directly from the platform.
DeepMind / EMBL-EBI
200M+ predicted protein structures covering the human proteome and key organisms.
200M+ structuresRCSB PDB
220K+ experimentally determined protein structures from X-ray, cryo-EM, and NMR.
220K+ structuresUniProt Consortium
214M+ protein sequences with functional annotation and cross-references.
214M+ sequencesEnter a PDB ID, UniProt accession, FASTA sequence, or upload your own structure file.
Explore the 3D structure interactively. Run bioinformatics analyses to understand function.
Apply machine learning methods to optimize stability, binding affinity, and structural quality.
Download PDB/mmCIF files, share with collaborators, and translate findings to wet lab.