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I would have expexted a more generative approach than the one they present. While this speeds up the screning process quite a lot you might as well feel like s

by hoc 3y ago

I would have expexted a more generative approach than the one they present. While this speeds up the screning process quite a lot you might as well feel like someone might just have thrown something out that might actually turn out useful and you can't backcheck without resorting to testing everthing. When I read the headline I was expected something more along "a network that knows what processes we have and therfor could imagine what compounds we could come up with" combined with that "inverse" network that predicts weaknesses of bacteria. Then those two would be matched and we would have to figure out the missing steps how to actually build the compound coming from that "black box" prediction. The benefit would be that we would be presented with something that could exist but we hadn't thought of because of our processes and limited resources. While I value the speedup and cost effect I'd think we could do much better here in exploiting the "creative" and powerful numerical inverse potential of ANNs especially in this area and outsmart those evolutionary skills of bacteria that way.

stainablesteel 3y ago
your approach is a lot more complex, but they satisfy a lot of optimal criteria with a simpler approach, which i actually think is more impressive and also a much better target to hit. in fact i think they could have even achieved the same results using a much simpler exploratory method. a lot of biology, as well as where its been exploited, relies on specific binding, along with this comes the hope that what you test won't inadvertently show off-target effects. Through looking at what's already available for information you can actually use the lack something existing within a human system as a probabilistic edge over the future success of their application. in a regard its like an artistic rendering that makes use of negative space, its an impressive direction.

by hoc 3y ago

stainablesteel 3y ago

your approach is a lot more complex, but they satisfy a lot of optimal criteria with a simpler approach, which i actually think is more impressive and also a much better target to hit. in fact i think they could have even achieved the same results using a much simpler exploratory method. a lot of biology, as well as where its been exploited, relies on specific binding, along with this comes the hope that what you test won't inadvertently show off-target effects. Through looking at what's already available for information you can actually use the lack something existing within a human system as a probabilistic edge over the future success of their application. in a regard its like an artistic rendering that makes use of negative space, its an impressive direction.