GENERATION OF PROTEIN SEQUENCES USING MACHINE LEARNING TECHNIQUES

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 that generates amino acid sequences of antibody heavy chains. Amino aci...

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Bibliographische Detailangaben
Hauptverfasser:	CLARK, Rutilio H, TAYLOR, John Alex, AMIMEUR, Tileli, SHAVER, Jeremy Martin, KET, Randal Robert
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	BEER BIOCHEMISTRY CHEMISTRY COMPOSITIONS OR TEST PAPERS THEREFOR CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES ENZYMOLOGY HUMAN NECESSITIES HYGIENE INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES MEASURING MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS MEDICAL OR VETERINARY SCIENCE METALLURGY MICROBIOLOGY MUTATION OR GENETIC ENGINEERING PHYSICS PREPARATIONS FOR MEDICAL, DENTAL, OR TOILET PURPOSES PROCESSES OF PREPARING SUCH COMPOSITIONS SPIRITS TESTING VINEGAR WINE
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Beschreibung
Zusammenfassung:	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 that generates amino acid sequences of antibody heavy chains. Amino acid sequences of antibodies call 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 front 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.