ESTIMATION OF MECHANISTIC CHROMATOGRAPHY MODEL UNCERTAINTY

    公开(公告)号:US20230385475A1

    公开(公告)日:2023-11-30

    申请号:US18447986

    申请日:2023-08-10

    CPC classification number: G06F30/17 G06F30/20

    Abstract: A method, system, and non-transitory computer readable medium for estimating mechanistic chromatography model uncertainty. A mechanistic model of chromatography that comprises a plurality of parameters is received. For each of the plurality of parameters, a corresponding region of values is identified based on a relationship between values for the plurality of parameters. Each parameter of the plurality of parameters is sampled within the corresponding region of values for each parameter to form a plurality of simulation sets. An uncertainty for the mechanistic model is quantified using the plurality of simulation sets.

    Multiplexed Screening Analysis of Peptides for Target Binding

    公开(公告)号:US20230368863A1

    公开(公告)日:2023-11-16

    申请号:US18338772

    申请日:2023-06-21

    CPC classification number: G16B15/30 G16B15/20 G16B40/00

    Abstract: Methods, systems, and computer program products are provided for clustering of similar peptides to detect candidates for target binding. In some embodiments, a method provided herein includes receiving sequencing information and quantification information of a plurality of peptides after target-binding selection in a library. The sequencing information includes amino acid sequences of the plurality of peptides, and the quantification information includes a count of copies of each amino acid sequence in the plurality of peptides. The method further includes computing similarity scores for pairs of the plurality of peptides using the sequencing information. The method further includes grouping the plurality of peptides into clusters based on the similarity scores. The method further includes screening the clusters based on quantification information of peptides in each cluster to obtain candidates for target binding over a pre-set threshold.

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