MACHINE LEARNING FOR ANTIBODY DISCOVERY AND USES THEREOF

WIPO Patent Application WO/2024/094097

A1

Provided is a method for identifying an antibody that has a certain biological function in relation to an antigen using a machine learning model. The method comprises the steps of: a) obtaining antibodies from B cells of at least one animal immunized with the antigen; b) determining the sequences of the antibodies in a) or fragments thereof and at least one type of functional data thereof; c) building a machine learning model using one or more machine learning algorithms, and training the model using training data, wherein the training data comprises the sequences and functional data in b); d) using the trained model to predict the ability of sequences from B cells of the immunized animal in a) or from B cells of a different animal immunized with the antigen, to encode an antibody that has the biological function in relation to the antigen; e) generating one or more antibodies from the sequences in d) predicted to encode an antibody that has the biological function in relation to the antigen; and f) determining whether the antibodies in e) has the predicted biological function. Enrichment scores of the sequences, CDR groups, lineages and/or clusters of the selected sequences in step d) are calculated and those having a higher enrichment score are selected to generate the antibodies.

WANG XINHAO (CN)
CHEN YU (CN)
ZHU WEIMIN (CN)

PCT/CN2023/129238

May 10, 2024

November 02, 2023

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ZHEJIANG NANOMAB TECH CENTER CO LTD (CN)
SHANGHAI CHENGHUANG NANOMAB TECH CO LTD (CN)

G16B15/30

WO2021217396A1	2021-11-04
WO2020176815A2	2020-09-03

US20180201900A1	2018-07-19
US20170066844A1	2017-03-09
US20170212130A1	2017-07-27

SHANGHAI PATENT & TRADEMARK LAW OFFICE, LLC (CN)

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