Artificial intelligence design of ProteinA-like peptides
Pages 380 - 384
Abstract
There are hundreds of millions of natural proteins in nature, and these natural proteins can play different roles due to their special structure. The first field of AI for Science is the prediction and design of protein structure, and simulating the structure of certain natural proteins has become a popular topic in biopharmaceutical research. The generative adversarial network model in deep learning and a target sequence method were used in the paper to mimic the special structure of natural proteins. We successfully synthesized the ProteinA-like peptide sequence which had a high structural similarity with the natural proteins in its tertiary structure.These synthetic peptide sequences by computer will lay the foundation for the later transcription to become mRNA and to synthesize protein in the laboratory .
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- Artificial intelligence design of ProteinA-like peptides
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Published In
January 2024
504 pages
ISBN:9798400716645
DOI:10.1145/3665689
Copyright © 2024 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 28 June 2024
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BIC 2024
BIC 2024: 2024 4th International Conference on Bioinformatics and Intelligent Computing
January 26 - 28, 2024
Beijing, China
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