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Updated: Oct 22, 2026

An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
Data storage with amino acid sequences
Yin Zhou1, Cheuk Chi A Ng1, Zhong-Ping Yao1
1Department of Life Sciences, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong; Research Institute for Future Food, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong; Research Centre for Chinese Medicine Innovation, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong; State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation), The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China; Shenzhen Key Laboratory of Food Biological Safety Control, The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, China.
Abstract:
Amino acid sequences in peptides and proteins can be used to store data with the advantages of high capacity and stability, offering a solution for storing ever-increasing amounts of data. Compared with peptides, proteins have longer sequences and can be produced at a much lower cost, enabling more efficient data storage and allowing specific functions to be incorporated using established protein techniques. Although data storage using peptides and proteins has been demonstrated, challenges related to cost, throughput, error rates, data density, and scalability remain to be addressed. Emerging technologies to overcome these challenges are under active development, and their successful commercialization could drive a paradigm shift, enabling high-density and very long-term data storage.
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