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公开(公告)号:US20240086423A1
公开(公告)日:2024-03-14
申请号:US17898236
申请日:2022-08-29
Applicant: X Development LLC
Inventor: Lance Co Ting Keh , Ivan Grubisic , Ryan Poplin , Jon Deaton , Hayley Weir
IPC: G06F16/28 , G06N3/0455 , G06N3/08
CPC classification number: G06F16/285 , G06N3/0455 , G06N3/08
Abstract: Some techniques relate to projecting aptamer representations into an embedding space and clustering the representations. A cluster-specific binding metric can be defined for each cluster based on aptamer-specific binding metrics of aptamers associated with the cluster. A subset of the clusters can be selected based on the cluster-specific binding metrics. Identifications of aptamers assigned to the subset of clusters can then be output.
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公开(公告)号:US20240087682A1
公开(公告)日:2024-03-14
申请号:US17932153
申请日:2022-09-14
Applicant: X Development LLC
Inventor: Jon Deaton , Hayley Weir , Ryan Poplin , Ivan Grubisic
Abstract: A multi-dimensional latent space (defined by an Encoder model) corresponds to projections of sequences of aptamers. An architecture of the Encoder model, a hyperparameter of the Encoder model, or a characteristic of a training data set used to train the Encoder model was selected using an assessment of an encoding-efficiency of the Encoder model that is based on: a predicted extents to which representations in an embedding space are indicative of specific aptamer sequences to which a probability distribution of the embedding space differs from a probability distribution of a source space that represents individual base-pairs; generating projections in the latent space using representations of aptamers and the Encoder model; identifying one or more candidate aptamers for the particular target using the projections and the Decoder model; and outputting an identification of the one or more candidate aptamers.
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