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BioRetroSynth

Our group is interested in synthetic biology and systems metabolic engineering in whole-cell and cell-free systems.

Bio-RetroSynth

Bio-RetroSynth group

Our group is interested in synthetic biology in whole-cell and cell-free systems. We develop computational and wet lab protocols to search, design, and engineer biological pathways and networks. Other activities include structure-activity, sequence-function relationships, retrosynthesis, and the design of experiments using active and reinforcement machine learning methods. The applications of our work include synthetic metabolic pathways and genetic circuits engineering for bioproduction, biosensing, and biocomputing.

Popular repositories

  1. RetroPathRL RetroPathRL Public

    Reinforcement Learning based bioretrosynthesis tool

    Python 46 16

  2. rp2paths rp2paths Public

    RetroPath2.0 to pathways

    Python 15 9

  3. active_learning_cell_free active_learning_cell_free Public

    Scripts to perform active learning as described in the referenced article.

    Jupyter Notebook 10 11

  4. RetroPath2-wrapper RetroPath2-wrapper Public

    Python wrapper for Retropath2.0 Knime workflow

    JavaScript 7 1

  5. rptools rptools Public

    Suite of tools that work on rpSBML format

    HTML 6 2

  6. amn_release amn_release Public

    Jupyter Notebook 6 4

Repositories

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