It was tremendous fun brainstorming with
@elowitzlab.bsky.social
in the early days of this project, and collaborating with all co-authors on this paper. A nice cover art made by the talented Ehmad Chehre:

3) cleaned up the chemical reaction network diagram (from left to right). Here, each circle is a unique (left) or a group of (right) protein species, and each orange dot represents one (left) or a group of (right) chemical reactions

2) scaled up the neural network to be 2-input and 3-output, showcasing the scalability of the Perceptein architecture (left, simulation; right, experiments)

Since our last preprint, we have

1) redirected the classification outcome to cell death, demonstrating the interfacability of protein circuits (thanks to Shiyu Xia)

As shown in our preprint a while ago, we took a small step further and created a protein circuit, made of de novo designed protein heterodimers and engineered split viral proteases, that carries out weights-tunable winner-take-all neural network computation in mammalian cells.