AUTOENCODER WITH GENERATIVE ADVERSARIAL NETWORK TO GENERATE PROTEIN SEQUENCES

Amino acid sequences of proteins can be produced using an autoencoder. For example, amino acid sequences of variant proteins can be produced by an autoencoder that is fed an amino acid sequence of a base protein as input. A decoding component of the autoencoder can include at least one or more compo...

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Hauptverfasser:	Ketchum, Randal Robert, Shaver et al., Jeremy Martin, Amimeur, Tileli
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
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creator	Ketchum, Randal Robert Shaver et al., Jeremy Martin Amimeur, Tileli
description	Amino acid sequences of proteins can be produced using an autoencoder. For example, amino acid sequences of variant proteins can be produced by an autoencoder that is fed an amino acid sequence of a base protein as input. A decoding component of the autoencoder can include at least one or more components of a generative adversarial network.
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subjects	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS PHYSICS
title	AUTOENCODER WITH GENERATIVE ADVERSARIAL NETWORK TO GENERATE PROTEIN SEQUENCES
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