THUNLP-MT/MEAN
This repo contains the codes for our paper Conditional Antibody Design as 3D Equivariant Graph Translation.
This project helps biological engineers and immunologists design antibodies by predicting optimal protein sequences for specific binding sites. You provide the 3D structure of an existing antibody-antigen complex, and it generates new amino acid sequences for the antibody's Complementarity-Determining Region (CDR-H3) that enhance binding or improve other properties. This tool is ideal for researchers in antibody engineering, drug discovery, or protein design.
103 stars. No commits in the last 6 months.
Use this if you need to computationally design or optimize antibody CDR-H3 sequences to improve their binding affinity or other functional characteristics, given an existing antibody-antigen complex structure.
Not ideal if you need to design an antibody completely from scratch without a known starting antibody structure or specific antigen binding context.
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103
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Language
Python
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MIT
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Last pushed
Apr 07, 2023
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