<ul><li>A recent study led by Dr. Rafael Bernardi at Auburn University combines AI and molecular dynamics simulations to predict binding sites in protein-protein interactions.</li><li>The team's integrated approach demonstrates that the perpendicular binding pose of PD-L1:Affibody complexes is more stable than the parallel configuration.</li><li>The study's findings have implications beyond cancer immunotherapy and can be applied to other proteins for developing new treatments and accelerating drug discovery.</li><li>The research highlights the importance of interdisciplinary collaboration and sets a new standard for developing targeted cancer therapies and personalized medicine.</li></ul>

Groundbreaking AI looks to revolutionize cancer treatments

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