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More than 200 million forms of protein predicted by AI

Did you know that a database offers the predicted structures of more than two hundred million proteins? In two thousand twenty-two, AlphaFold expands this resource.

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More than 200 million forms of protein predicted by AI
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Did you know that a database offers the predicted structures of more than two hundred million proteins? In two thousand twenty-two, AlphaFold expands this resource. The important word is predicted: it is not about two hundred million structures measured in the laboratory. A protein is a chain that takes shape in space. This form helps to understand its interactions. Our animated ribbon illustrates folding, without representing an identified protein. Its segments remain connected in a chain; no magic molecule comes to heal a patient here.

Prediction can give researchers a track of work, with confidence levels and limitations. It does not replace experiences. We must distinguish between proposing a structure and establishing what happens in a cell, with its partners and its environment.

Change is access to a starting point for research. But a calculated form is not, in itself, a medicine or a cure. This illustration explains this transition from a string to a geometry, and the source documents the size of the resource.

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What we know

Structures of more than 200 million proteins are predicted. They are not all measured experimentally and are not treatments on their own.

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References consulted on October 12, 2026.

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