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Abstract

Creating protein interactions through computational design is a key challenge in the fields of both basic and translational biology. An approach that uses the machine-learned fingerprints of protein-surface features was used to produce synthetic proteins that engage immunotherapeutic or viral targets with binding affinities comparable to those of naturally occurring proteins.

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