sophtang/TR2-D2
Code for TR2-D2: Tree Search Guided Trajectory-Aware Fine-Tuning for Discrete Diffusion
This project helps biological engineers and computational chemists design new biomolecules like DNA regulatory sequences and therapeutic peptides. It takes existing diffusion models for these molecules and fine-tunes them to generate sequences with specific desired properties, such as enhanced gene activity or improved drug efficacy. The output is a refined model that can create novel, high-performing molecular sequences.
Use this if you need to optimize the generation of discrete biological sequences, like DNA or peptides, to meet specific, quantifiable design goals.
Not ideal if you are looking to generate continuous data or if your target properties cannot be represented as a reward signal for optimization.
Stars
18
Forks
1
Language
Python
License
MIT
Category
Last pushed
Feb 12, 2026
Commits (30d)
0
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