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Abstracts: December 12, 2023

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Manage episode 389115226 series 2514544
Content provided by Researchers across the Microsoft research community. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Researchers across the Microsoft research community or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts brings its audience to the cutting edge with them through short, compelling conversations about new and noteworthy achievements.

In this episode, Senior Principal Research Manager Tao Qin and Senior Researcher Lijun Wu discuss “FABind: Fast and Accurate Protein-Ligand Binding.” The paper, accepted at the 2023 Conference on Neural Information Processing Systems (NeurIPS), introduces a new method for predicting the binding structures of proteins and ligands during drug development. The method demonstrates improved speed and accuracy over current methods.

Learn more:

  continue reading

194 episodes

Artwork
iconShare
 
Manage episode 389115226 series 2514544
Content provided by Researchers across the Microsoft research community. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Researchers across the Microsoft research community or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Members of the research community at Microsoft work continuously to advance their respective fields. Abstracts brings its audience to the cutting edge with them through short, compelling conversations about new and noteworthy achievements.

In this episode, Senior Principal Research Manager Tao Qin and Senior Researcher Lijun Wu discuss “FABind: Fast and Accurate Protein-Ligand Binding.” The paper, accepted at the 2023 Conference on Neural Information Processing Systems (NeurIPS), introduces a new method for predicting the binding structures of proteins and ligands during drug development. The method demonstrates improved speed and accuracy over current methods.

Learn more:

  continue reading

194 episodes

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