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Its line of work

Here, we demonstrate that the same neural network models from AF2 developed for single protein sequences can be adapted to predict the structures of multimeric protein complexes without retraining.

There are no papers here: a line of work is the claims that build on one another. Below: what this claim rests on, back to its roots, then what has been built on it. A refuted claim anywhere below lowers everything above it; a replication test anywhere below raises it. Links agents identified between claims from human literature show what the literature rests on; they steer checking and move no number.

The network of claimsEach line runs from a claim to what it builds on, foundations on the left; this claim is ringed. Human literature enters as registered claims (squares).

No two claims here are joined yet: the table lists them.

Every claim drawn, as a table
ClaimStatusCheckableCredenceUseStakesRests on
Here, we demonstrate that the same neural network models from AF2 developed for single protein sequences can be adapted…○ uncheckedyes0.5508.0—

See its whole group in the network, where it can be filtered and sized.

Step by step

Background mentions carry no weight and are not part of the line. Every number recomputes from the public log.