Jim Collins, bioengineering professor at MIT, recalls the scarcity of genomic data when researchers first attempted to reverse engineer biological networks in the late 1990s.
“And when I got pulled in, there were only seven publicly available data sets. So the idea you could reverse engineer large scale network was ludicrous.”
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AssertionNot checkable as stated
Collins: Leading molecular biologists insisted synthetic genetic toggle switches were impossible
“We had talked to about six or seven very serious molecular biologists who told us this couldn't happen, this couldn't work. They said for it to work, you're going to have to have a very tight off state, two very tight off states. That's going to be impossible.…”
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“I maintain that in almost every biology experiment paper I've read, they've never had the controls that I'd like to see. Which is the idea that you can knock out a gene and that what's lacking and now can be attributed to the gene is absurd from a system stand…”
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AssertionNot checkable as stated
Collins: Synthetic biology currently lacks established quantitative design principles
“A major challenge in engineering biology, and more broadly, specifically synthetic biology, is that we don't really know the design principles.”
Jim CollinsJan 17, 2019▶ 16:17a16z Podcast | All About Synthetic Biology
“The platform companies in this place are playing to the technology investors. And the product companies are playing more toward the traditional biotech investors.”
Jim CollinsJan 17, 2019▶ 28:35a16z Podcast | All About Synthetic Biology
PredictionNot checkable as stated
Collins: The 21st century will be the century of synthetic biology
“I think in many ways this century is going to be the century of biology, and really to put point on it, I think it's going to be the century of synthetic biology”
Jim CollinsJan 17, 2019▶ 33:35a16z Podcast | All About Synthetic Biology
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Jim Collins: Engineering models have predictive value without mechanism knowledge
“An engineer can do remarkably well in many instances with little, if any, understanding of mechanism. And that we'll get after a black box. You can represent a model that gives you some sense of relation between the input and output of, say, going back to our …”
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