Supported Applications
Germinal
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Description
is a pipeline for designing de novo antibodies against specified epitopes on target proteins. The pipeline follows a 3-step process: hallucination based on ColabDesign, selective sequence redesign with AbMPNN, and cofolding with a structure prediction model. Germinal is capable of designing both nanobodies and scFvs against user-specified residues on target proteins.
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Usage
To list all executables provided by Germinal, run:$ sbgrid-list germinal -
Usage Notes
Paths to model params need to be set in the config file. See documentation For convenience, an alias
run_germinal.pyis provided (instead ofpython run_germinal.py) -
Installation
Use the following command to install this title with the CLI client:$ sbgrid-cli install germinalAvailable operating systems: Linux 64 -
Primary Citation*
L. S. Mille-Fragoso, J. N. Wang, C. L. Driscoll, H. Dai, T. Widatalla, X. Zhang, B. L. Hie, and X. J. Gao. 2025. Efficient generation of epitope-targeted de novo antibodies with Germinal. bioRxiv. Cold Spring Harbor Laboratory.
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*Full citation information available through
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Keywords
Machine Learning, Protein-Protein Interaction Prediction, Structural Biology
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Default Versions
Linux 64:  20260512 (10.3 GB)
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Developers
Luis Santiago Mille-Fragoso