The hosts walk through a timeline showing how fast AI-generated protein designs are compared to how long lab validation takes. The first 180 design candidates were produced in about 64 hours, but the first binding results from laboratory testing did not arrive until 39 days after the design process began, roughly five and a half weeks later. They note that the gap includes steps like synthesis, protein production, reagent sourcing, scheduling, and actual measurement, which have not yet been streamlined for an AI-driven lab workflow.
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The 39-day figure is counted from the start of the design process, not from when the designs were finished.
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The hosts attribute the slow turnaround partly to logistical steps such as reagent scheduling and protein production rather than the measurement itself.
212 words · auto-generated from the episode video
1:18:31because the promise here is that this is going to accelerate and it's going to happen very quickly. >> So this next chart kind of looks at how long did it take them to create the design candidates and how long did it take them to test those candidates in a laboratory with the two partners we mentioned earlier. They were able to get the first 180 designs in 64 hours which is quite quick. >> That's quite quick. It's quite fast. The easiest part of the process maybe, but it's still quite fast. >> Yeah. Two and a half days though is quite fast for 180 designs. >> It's quite quick. >> Yeah. >> The first binding results arrived after 39 days, which is from the beginning of
1:19:12when they started the design process, not after they got the design process. So about five and a half, five five and a half weeks. um to get to this point where we have the designs done, we've tested them in the lab and we have these um candidates in between there. There's synthesis, there's protein production, there's getting the reagents, scheduling the work, actually measuring what happens. There's quite a bit. >> Yeah, there's quite a bit that hasn't been optimized for
Animal BehaviorArtificial IntelligenceNeuroscienceProtein Engineering