Recent advances in computational protein design have depended mainly on neural networks and machine learning to generate binders. However, the complexity of protein-protein interactions and the ...
"To date, the most successful approaches deploy neural networks. Our goal was to develop a training-free pipeline for binder design. We wanted a design pipeline that not only enables the creation of ...
The model can be accessed through Latent's web-based platform for push-button protein design. Sign ups are open now for early access: platform.latentlabs.com Extensive lab validation shows picomolar ...
An MIT-developed AI model has designed dozens of lab-confirmed protein binders for targets long considered out of reach, offering a new tool for drug discovery and ...
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