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Evolved Technology: Why technology is counter-intuitively pushing us back to natural products in pharma development

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Manage episode 430542789 series 3337582
Innhold levert av Lux Capital. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Lux Capital eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

The history of pharmaceutical development has traditionally been one of exploration on the frontiers of life on Earth. From fungi to molds, we’ve sourced many of our most important drugs from some of the unlikeliest places, and it’s all due to evolution. Nature’s intense competition and selection forces has made it the ultimate developer of pharmaceuticals, with potential cures lying in wait for someone to find them.

Searching nature is expensive though, and thus, pharmaceutical companies re-centered around synthetic chemistry over the past few decades, hoping to realize a more reliable and inexpensive drug discovery model. Unfortunately, we have hit a logjam with such an approach, and the evidence is clear that natural products are often regularly superior to synthetics.

We wanted to dive deeper into the future of biopharma, and so we brought together our own Tess Van Stekelenburg and Elliot Hershberg, the writer of Century of Bio, to work on a new two-part mini-series for the Riskgaming podcast, titled Evolved Technology. It’s an extension of a series of talks that Tess and Elliot (“two crazy bio-optimists”) have conducted in SF, and we hope it illuminates a critical scientific frontier with implications for all of us.

In this first episode, Tess and Elliot talk about the editing of life; why thousands head to the Himalayas to find tiny caterpillars in the dirt; the business history of natural products in pharma; the transition from natural products to synthetic chemistry; the limitations of our current biochem toolkits; and finally, how AI/ML are bringing us back to the search for natural products using higher-order models.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠George Ko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & Suno

  continue reading

119 episoder

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iconDel
 
Manage episode 430542789 series 3337582
Innhold levert av Lux Capital. Alt podcastinnhold, inkludert episoder, grafikk og podcastbeskrivelser, lastes opp og leveres direkte av Lux Capital eller deres podcastplattformpartner. Hvis du tror at noen bruker det opphavsrettsbeskyttede verket ditt uten din tillatelse, kan du følge prosessen skissert her https://no.player.fm/legal.

The history of pharmaceutical development has traditionally been one of exploration on the frontiers of life on Earth. From fungi to molds, we’ve sourced many of our most important drugs from some of the unlikeliest places, and it’s all due to evolution. Nature’s intense competition and selection forces has made it the ultimate developer of pharmaceuticals, with potential cures lying in wait for someone to find them.

Searching nature is expensive though, and thus, pharmaceutical companies re-centered around synthetic chemistry over the past few decades, hoping to realize a more reliable and inexpensive drug discovery model. Unfortunately, we have hit a logjam with such an approach, and the evidence is clear that natural products are often regularly superior to synthetics.

We wanted to dive deeper into the future of biopharma, and so we brought together our own Tess Van Stekelenburg and Elliot Hershberg, the writer of Century of Bio, to work on a new two-part mini-series for the Riskgaming podcast, titled Evolved Technology. It’s an extension of a series of talks that Tess and Elliot (“two crazy bio-optimists”) have conducted in SF, and we hope it illuminates a critical scientific frontier with implications for all of us.

In this first episode, Tess and Elliot talk about the editing of life; why thousands head to the Himalayas to find tiny caterpillars in the dirt; the business history of natural products in pharma; the transition from natural products to synthetic chemistry; the limitations of our current biochem toolkits; and finally, how AI/ML are bringing us back to the search for natural products using higher-order models.

Produced by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Christopher Gates⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠

Music by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠George Ko⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ & Suno

  continue reading

119 episoder

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