Optovolution: Teaching Proteins to Think Like Computers (EP. 31)
カートのアイテムが多すぎます
ご購入は五十タイトルがカートに入っている場合のみです。
カートに追加できませんでした。
しばらく経ってから再度お試しください。
ウィッシュリストに追加できませんでした。
しばらく経ってから再度お試しください。
ほしい物リストの削除に失敗しました。
しばらく経ってから再度お試しください。
ポッドキャストのフォローに失敗しました
ポッドキャストのフォロー解除に失敗しました
-
ナレーター:
-
著者:
概要
Hosted by Lester Nare and Krishna Choudhary, this episode is a deep dive into a new synthetic-biology breakthrough out of EPFL: OptoEvolution. The big idea is simple but powerful — traditional directed evolution is great at making proteins that are always “on,” but biology is full of proteins that need to switch states, respond to stimuli, and behave more like logic gates than static tools. This paper takes directed evolution and couples it to light and the cell cycle, creating a new way to evolve dynamic proteins that can toggle, compute, and respond with far more control.
Summary
- Why directed evolution needed an upgrade — classic methods select for proteins with continuous function, not proteins that toggle between active and inactive states.
- OptoEvolution — using light as a control signal and the cell cycle as a built-in oscillator to evolve proteins that must turn on and off to survive.
- Color-multiplexed biology — engineering proteins to respond to different wavelengths of light, opening the door to finer control of gene expression.
- Single-protein logic gates — proof-of-concept AND-gate behavior inside a single protein, hinting at a future where biology can be programmed with much more software-like precision.
Support the show
Donate: FFPod.com/donate
Follow: @FFPod on X / Instagram / TikTok / Facebook
Show Notes
- OptoEvolution / dynamic protein control (Cell)
まだレビューはありません