Humatch
A CNN-based tool for rapid, gene-specific humanization and classification of antibody heavy and light chains.
Humatch is a fast, gene-specific tool designed to jointly humanize antibody heavy and light chains. Leveraging lightweight convolutional neural networks (CNNs), Humatch classifies human antibody sequences with near-perfect accuracy and guides the humanization process by aligning sequences with specific human germline V-genes. It ensures optimal VH/VL pairing to maintain stability and expression while reducing immunogenicity risks. Additionally, Humatch provides robust classification of antibody sequences, distinguishing between human and non-human origins with high precision.
Estimated resource cost: 0.0002945
Categories: Protein Design
Tags: Antibodies Developability Immunogenicity Proteins
Key Capabilities
- Jointly humanizes antibody heavy (VH) and light (VL) chains for better pairing and stability.
- Ensures alignment with specific human germline V-genes, avoiding hybrid gene designs.
- Reduces immunogenicity risks while maintaining expression and binding efficiency.
Runtime Statistics
| Metric | Value |
|---|---|
| runtime_mean | 64 |
| runtime_median | 19 |
| runtime_std | 120 |
| runtime_90th_percentile | 146 |
| runtime_max | 921 |
Similar Tools
- BindFilter
- BioPhi
- BioBind
- DeepImmuno Immunogenicity Prediction
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Review your configuration, then confirm the estimated credit cost before you run the job. Note that credit estimates are not guaranteed and runtime can vary depending on inputs and settings.
Estimated Credits: 0.0002945
Invite-only, limited-time access. Please contact ztang@getantibody.com.
Invite-only, limited-time access. Please contact ztang@getantibody.com.