Zibo Chen

The paper designs a multimolecular proofreading circuit that overcomes the activity-fidelity trade-off in synthetic biological systems.

This paper computationally designs multi-component protein filaments that assemble into ordered fibers, validated by cryoEM, and shows regulation via phosphorylation.

The paper describes a synthetic protein circuit that performs winner-take-all neural network computation in mammalian cells using engineered protein interactions.

This paper introduces Scrambler networks, a method for interpreting sequence-based neural networks by learning stochastic masks to identify salient sequence positions and explain model predictions.