/tools/TeBaAb

TeBaAb

HySonLab/TeBaAb

GitHub
protein-designoptimizationdatasetgenerationtoolantibody
2 stars0 forksPythonWebsiteAdded February 4, 2026
summary

TeBaAb is a framework for redesigning antibodies conditioned on antigen sequences and textual descriptions, utilizing generative modeling and directed evolution. It includes a dataset of antibody-antigen pairs and aims to improve binding affinity while maintaining structural integrity.

description

TeBaAb: Text-Based Antigen-Conditioned Antibody Redesign via Directed Evolution

topics

antibody-designbinding-affinity-predictiondirected-evolutionevolutionary-algorithmnatural-language-processingprotein-designprotein-language-modelvariational-autoencoder

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