Over the past few months, AI-based tools have emerged that enable scientists to design original antibodies on the computer for the first time. A year ago, none could reliably do this computationally. But now companies like Nabla Bio, Chai Discovery, Latent Labs, Manifold Bio and, most recently, DeepMind-spinoff Isomorphic Labs have allowed high success rates. There are even open source tools, such as BoltzGen and Germinal, that deliver similar performance. The rapid progress in antibody design matters because these molecules are among the most versatile tools in biology. Many medicines ' including Humira and Adalimumab ' are antibodies, and cheap diagnostics, including $1 COVID tests, rely on them as well. These Y-shaped proteins make excellent binders, as the two arms can latch onto proteins or other molecules and block their activity. Before these AI tools existed, scientists searching for a useful antibody would first need to screen billions of candidates in laboratory assays to...
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