Longevity InTime: Autonomous AI Institute. Anti-Aging Digital Health Immortality Transhumanist AI Channel

PRAXIS AI‑driven protein design completes 25 rounds in a month In a preprint dated 14 August 2026, researchers introduced PRAXIS, an autonomous system that designs and tests proteins. Software agents propose protein variants, while a robotic lab builds the corresponding DNA, expresses the proteins, and measures their activity. Each experiment’s outcome updates a shared computational model that guides the next round of agent selections. The team focused on the GH1 family of glycoside‑hydrolase enzymes, taking six natural GH1 sequences and dividing each into eight fragments. By recombining these fragments while preserving the overall protein scaffold, they generated roughly 1.7 million chimeras—proteins assembled from pieces of the original enzymes. Three autonomous agents searched for variants with activity and selectivity toward glucose, xylose, or mannose. Each agent chose its own batch of candidates, but all experimental results fed into a single measurement set that refreshed the shared model. Consequently, a test performed for one sugar could influence the next selections of the other agents. Over the course of about a month, the system completed 25 rounds. In each round the robotic lab synthesized DNA for the chosen variants, produced the proteins, and assayed their activity on fluorescent substrates that emit a measurable light signal. The assay result directly determined the next experiment. After the automated rounds, the top candidates were retested manually alongside the original enzymes. Several variants showed altered selectivity for the target sugars, and the three most active variants shared a common sequence fragment. Upon further validation, these proteins also exhibited higher expression levels, yielding more protein in the lab. 🔗 Read original →