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Nanometric mega-libraries

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Innehåll tillhandahållet av Thermo Fisher Scientific. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Thermo Fisher Scientific eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

For decades the pharmaceutical industry has synthesized millions of molecular entities in the pursuit of novel biological activities. These huge compound libraries have always been considered a treasure trove of potential new drugs for a plethora of new therapeutic targets. With the huge progress in laboratory automation and high-throughput technology over the last decade, library screening remains a key drug discovery strategy. The size of these libraries and their handling present however multiple challenges, starting from the synthesis and screening speed, storage space, and annotation required when working with Singleton compounds. A clever alternative finds inspiration from biology and leverages the DNA information storage power. This is known as DNA Encoded Libraries, or DELs. Dr. Katelyn Billings is a pioneer of this technology that offers a number of advantages, starting from the possibility of working on the nanoscale in as little as a few microliters to make and screen millions of molecules as a pool. In this episode we learn about how DELs work and discuss their advantages, challenges and the promise of combining data from DEL screens with machine learning to disrupt modern drug discovery.

Visit https://thermofisher.com/bctl to register for your free Bringing Chemistry to Life T-shirt and https://www.alfa.com/en/chemistry-podcasts/ to access our episode summary sheet, which contains links to recent publications and additional content recommendations for our guest.

We read every email so please share your questions and feedback with us!

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57 episoder

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Nanometric mega-libraries

Bringing Chemistry to Life

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Manage episode 337187360 series 3379942
Innehåll tillhandahållet av Thermo Fisher Scientific. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Thermo Fisher Scientific eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

For decades the pharmaceutical industry has synthesized millions of molecular entities in the pursuit of novel biological activities. These huge compound libraries have always been considered a treasure trove of potential new drugs for a plethora of new therapeutic targets. With the huge progress in laboratory automation and high-throughput technology over the last decade, library screening remains a key drug discovery strategy. The size of these libraries and their handling present however multiple challenges, starting from the synthesis and screening speed, storage space, and annotation required when working with Singleton compounds. A clever alternative finds inspiration from biology and leverages the DNA information storage power. This is known as DNA Encoded Libraries, or DELs. Dr. Katelyn Billings is a pioneer of this technology that offers a number of advantages, starting from the possibility of working on the nanoscale in as little as a few microliters to make and screen millions of molecules as a pool. In this episode we learn about how DELs work and discuss their advantages, challenges and the promise of combining data from DEL screens with machine learning to disrupt modern drug discovery.

Visit https://thermofisher.com/bctl to register for your free Bringing Chemistry to Life T-shirt and https://www.alfa.com/en/chemistry-podcasts/ to access our episode summary sheet, which contains links to recent publications and additional content recommendations for our guest.

We read every email so please share your questions and feedback with us!

  • Email helloBCTL@thermofisher.com

  continue reading

57 episoder

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