Peptide Data Storage Encoding and Sequencing

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Solution Overview

Problem

Current data storage methods, such as DNA, face limitations in data density and durability, with DNA being prone to degradation and requiring enzyme recognition, which restricts its effectiveness for long-term data storage and retrieval.

Innovation Solution

The method involves encoding digital data into peptide sequences using amino acids, incorporating error-correction codes and order-checking bits, and synthesizing these sequences, which can be stored and retrieved using established peptide sequencing technologies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If digital data is stored in DNA using natural nucleotides, then data storage is achieved, but data density is limited and the system is prone to degradation

Engineering Contradiction:
Improvedurability of data storageVSAvoiddata density
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent changes the fundamental parameters of the storage system by replacing natural DNA nucleotides with peptide amino acids. This substitution enables the use of 20 different amino acids instead of only 4 nucleotides, dramatically increasing data density while simultaneously improving durability since peptides are less prone to degradation than DNA.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The invention employs a composite approach by combining digital data encoding with peptide sequence synthesis. The system integrates error-correction codes and order-checking bits with the peptide sequences, creating a composite storage medium that enhances both reliability and data density beyond what natural DNA alone can provide.

Inventive Principle:
Principle #40Composite materials

2Ease of operation

If DNA sequencing enzymes are used to retrieve data, then data retrieval is possible, but the system requires enzyme recognition which limits versatility

Engineering Contradiction:
Improvedata retrieval processVSAvoidcompatibility with unnatural monomers
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The patent replaces the biochemical enzyme-based sequencing system with a mass spectrometry-based detection system. Mass spectrometry can directly analyze peptide sequences without requiring biological enzymes, enabling the system to handle both natural and unnatural amino acids, thereby significantly increasing versatility while maintaining ease of operation.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Ease of manufacture

If magnetic tapes are used for data storage, then existing storage infrastructure is utilized, but physical limitations in tape thickness and magnetic domain size limit maximum data density

Engineering Contradiction:
Improveuse of existing storage infrastructureVSAvoidmaximum data density
Core Design Contradiction:
Ease of manufactureVSQuantity of substance

Solution Approach 1:

The invention fundamentally changes the storage medium from macroscopic magnetic tapes to molecular-scale peptide sequences. This parameter change enables data to be stored at the molecular level, increasing data density by several orders of magnitude compared to magnetic tapes, while the synthesized peptides can be produced using established chemical synthesis methods.

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentUS11302421B2Data storage using peptides
Publication Date: 2022.04.12 THE HONG KONG POLYTECHNIC UNIV
  • US11302421B2 patent drawing
  • US11302421B2 patent drawing
  • US11302421B2 patent drawing

AI summary

Methods and systems for storing digital data into peptide sequences and retrieving digital data from peptide sequences are disclosed. The method for storing digital data into peptide sequences may include: encoding the digital data into a digital code; translating the digital code into the peptide sequences; and synthesizing the translated peptide sequences. The method for retrieving digital data from peptide sequences may include: sequencing and determining an order of the peptide sequences; converting the peptide sequences with the determined order into a digital code; and decoding the digital data from the digital code. Codes with error-correction capability are developed for encoding digital data into peptide sequences, and a computational method implemented in a software is developed for sequencing the digital data bearing peptides.