Robotics & Machine Learning Daily News2024,Issue(MAY.23) :75-79.

'Predicting Symmetrical Protein Structures Using Symmetrical Expansion Transform ations' in Patent Application Approval Process (USPTO 20240153577)

Robotics & Machine Learning Daily News2024,Issue(MAY.23) :75-79.

'Predicting Symmetrical Protein Structures Using Symmetrical Expansion Transform ations' in Patent Application Approval Process (USPTO 20240153577)

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Abstract

The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “This specification relates to predicting protei n structures. “A protein is specified by one or more sequences (“chains”) of amino acids. An a mino acid is an organic compound which includes an amino functional group and a carboxyl functional group, as well as a side chain (i.e., group of atoms) that i s specific to the amino acid. Protein folding refers to a physical process by wh ich one or more sequences of amino acids fold into a three-dimensional (3-D) con figuration. The structure of a protein defines the 3-D configuration of the atom s in the amino acid sequences of the protein after the protein undergoes protein folding. When in a sequence linked by peptide bonds, the amino acids may be ref erred to as amino acid residues.

Key words

Amino Acids/Cyborgs/Emerging Technolog ies/Machine Learning/Patent Application/Peptides/Proteins

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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