Generation of protein sequences using machine learning techniques

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United States of America Patent

PATENT NO 11587645
APP PUB NO 20220230710A1
SERIAL NO

17612918

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Abstract

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Amino acid sequences of antibodies can be generated using a generative adversarial network that includes a first generating component that generates amino acid sequences of antibody light chains and a second generating component generates amino acid sequences of antibody heavy chains. Amino acid sequences of antibodies can be produced by combining the respective amino acid sequences produced by the first generating component and the second generating component. The training of the first generating component and the second generating component can proceed at different rates. Additionally, the antibody amino acids produced by combining amino acid sequences from the first generating component and the second generating component may be evaluated according to complentarity-determining regions of the antibody amino acid sequences. Training datasets may be produced using amino acid sequences that correspond to antibodies have particular binding affinities with respect to molecules, such as binding affinity with major histocompatibility complex (MHC) molecules.

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Patent Owner(s)

  • JUST-EVOTEC BIOLOGICS, INC.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Amimeur, Tileli Seattle, US 8 1
Clark, Rutilio H Bainbridge Island, US 6 1
Ketchem, Randal Robert Snohomish, US 38 1174
Shaver, Jeremy Martin Lake Forest Park, US 9 1
Taylor, John Alex Bellevue, US 2 0

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