Free
$0
For trying ProteinIQ
- Free forever
- 100 one-time credits
- 3 jobs per day
- Limited atom and residue inputs
- Access to most tools
- Academic license
Antibody engineering workflows
Engineer antibodies, from design to screening.
Number variable regions, review humanness and developability, predict structures, model antibody-antigen complexes, and keep every output tied to the sequence it supports.
Biomolecular structure prediction
Interactive result · Boltz-2
Antibody engineering models.
Run the relevant methods in one consistent research workspace.
RFantibody
Structure-based de novo antibody and nanobody design pipeline combining antibody-tuned RFdiffusion, ProteinMPNN sequence design, and antibody-tuned RoseTTAFold2 filtering.
IgGM
IgGM is a generative foundation model for antibody and nanobody design against a target antigen. Supports CDR design, affinity maturation, inverse design, and framework design. Requires an antigen structure (PDB) and antibody sequences with "X" marking positions to design.
IgDesign
Design antibody heavy- and light-chain CDR sequences from an antibody-antigen complex with the IgDesign inverse-folding model.
BioPhi
Antibody humanization and humanness evaluation platform from Merck. Sapiens mode uses deep learning trained on the Observed Antibody Space (OAS) to humanize antibody sequences, while OASis mode evaluates humanness using 9-mer peptide search against human antibody databases.
Humatch
Humatch is an antibody humanization tool that transforms non-human antibody sequences into humanized variants. Uses three lightweight CNNs to identify optimal human V-genes and generate paired heavy and light chain sequences with minimal edits while maintaining functionality.
AntiFold
Inverse folding for antibody variable domains and nanobodies. Predicts amino acid sequences compatible with antibody structures using IMGT numbering while preserving native AntiFold chain handling and structural constraints.
Ready to research?
Plus
$23/mo/user
For academics
Everything in Free
- 24,000 credits/user/year
- No daily job limit
- Workflows
- No input limits
- Access to MD tools
- Advanced tool settings
Pro
$79/mo/user
For commercial research
Everything in Plus
- 96,000 credits/user/year
- Commercial license
- Extended tool settings
Enterprise
Contact us
For organizations at scale
Everything in Pro
- Custom credit allocation
- API access
- Shared seats and admin controls
- Invoice billing and security review
Questions & answers
ProteinIQ supports antibody engineering workflows for numbering, germline context, humanness review, humanization triage, developability screening, antibody structure prediction, nanobody modeling, antibody-antigen docking, and design review. Each workflow keeps upstream scores, files, and tool conventions visible for scientific inspection.
ProteinIQ antibody tools can accept FASTA sequences, paired heavy and light chains, single-domain or nanobody sequences, PDB structures, and antigen structures depending on the upstream model. The platform keeps each accepted input format tied to the tool that produced the downstream annotation, model, or score.
Yes. ProteinIQ can run antibody humanization and humanness review workflows using tools such as BioPhi, AbLang-style language model review, and humanization comparison steps. The answers are presented as sequence-level evidence for review, not as a hidden replacement for expert antibody engineering judgment.
Yes. ProteinIQ includes antibody and nanobody structure workflows that can turn variable-region sequences into modeled structures when the selected upstream tool supports that input. The generated PDB or related structure files, confidence values, and logs remain available for inspection and export.
Yes. ProteinIQ supports antibody-antigen docking and exploratory complex modeling workflows that can combine antibody chains or modeled antibody structures with an antigen structure. Docking outputs are useful for hypothesis generation and triage, while binding, specificity, and epitope claims still need experimental evidence.
ProteinIQ keeps antibody numbering, germline calls, humanness scores, developability tables, modeled structures, docking files, and logs associated with the input sequence or structure that produced them. This helps reviewers avoid separating heavy chains, light chains, residue annotations, and downstream models during triage.
Yes. ProteinIQ workflows are useful when you want connected antibody annotation, humanization, structure, and docking steps, but individual tools such as ANARCI, BioPhi, ImmuneBuilder, RFantibody, ParaSurf, and HADDOCK3 can also be opened directly for focused analysis.
ProteinIQ antibody workflows can export numbered sequence tables, humanness and developability CSV files, predicted structures, designed sequences, docking models, logs, and upstream result files depending on the tool. Exported outputs preserve the upstream labels and formats needed for review outside the platform.
No. ProteinIQ organizes computational antibody engineering evidence for prioritization and review. Expression, binding, specificity, immunogenicity, developability, and manufacturability experiments are still required before making biological, therapeutic, or clinical claims.