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How could #AlphaFold 3 transform drug discovery? Most drugs are small molecules known as ligands that bind to proteins to change how they interact in human health and disease. AlphaFold 3 can predict these interactions to atomic accuracy.
75,322 görüntüleme • 2 yıl önce •via X (Twitter)
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At Iso, we’re using AlphaFold 3 in combination with our own proprietary AI tools and continuing to advance the accuracy and power of our platform through application to real-world therapeutic challenges.

Our scientists are now equipped with the ability to quickly and accurately predict the structure of complexes that have never been characterised before.

Hypotheses can now be tested at the atomic level, and produce highly accurate structure predictions within seconds, standing in stark contrast to the months, or even years, required to experimentally determine answers to similar questions.

This helps us unlock novel approaches to drug design for targets that previously were difficult or undruggable.

We’re excited by the potential AlphaFold 3 holds to unlock a wealth of opportunities for biological research and therapeutic impact – from the discovery of new disease targets, to novel mechanisms for drug design. Find out more:

Anyone knows how to input non-standard ligand into the alphafold server? seems like only a number of ligands like ATP, ADP, etc are allowed. We cannot fed the server with SMILES or sdf file.

@TheAiGrid omg, agi in medical?

😍😍

We are moving from drug discovery to drug design!




