2023
DOI: 10.1002/anie.202300014
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Macromolecular Information Transfer

Abstract: Macromolecular information transfer can be defined as the process by which a coded monomer sequence is communicated from one macromolecule to another. In such a transfer process, the information sequence can be kept identical, transformed into a complementary sequence or even translated into a different molecular language. Such mechanisms are crucial in biology and take place in DNA!DNA replication, DNA!RNA transcription and RNA! protein translation. In fact, there would be no life on Earth without macromolecu… Show more

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Cited by 10 publications
(9 citation statements)
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“…The diverse biomacromolecular functions enabled by precisely controlled monomer sequences motivated polymer chemists to make efforts to develop methodologies to prepare sequence-defined synthetic analogs to elucidate the sequence-structure–function relationships. ,, Strategies such as solid/liquid-phase synthesis, , templated polymerization, single unit monomer insertion , and iterative exponential growth , were explored to achieve monomer sequence control in oligomeric or low molecular weight polymeric products. Sequence-defined polyphosphates, poly­(alkoxyamine amides), and polyurethanes hold promise in secure data storage as molecular barcodes and QR codes. Discrete block copolymers containing immiscible segments (e.g., PLA and polydimethylsiloxane (PDMS)) provide an ideal model for phase separation studies to resolve the impact of atomic-level alteration on phase behaviors.…”
Section: Sequencementioning
confidence: 99%
“…The diverse biomacromolecular functions enabled by precisely controlled monomer sequences motivated polymer chemists to make efforts to develop methodologies to prepare sequence-defined synthetic analogs to elucidate the sequence-structure–function relationships. ,, Strategies such as solid/liquid-phase synthesis, , templated polymerization, single unit monomer insertion , and iterative exponential growth , were explored to achieve monomer sequence control in oligomeric or low molecular weight polymeric products. Sequence-defined polyphosphates, poly­(alkoxyamine amides), and polyurethanes hold promise in secure data storage as molecular barcodes and QR codes. Discrete block copolymers containing immiscible segments (e.g., PLA and polydimethylsiloxane (PDMS)) provide an ideal model for phase separation studies to resolve the impact of atomic-level alteration on phase behaviors.…”
Section: Sequencementioning
confidence: 99%
“…Digital polymers are unique sequence-defined polymers that can store information in their chains using a controlled sequence of monomers. Inspired by deoxyribonucleic acid biopolymers that store genetic information in living systems, research on digital synthetic polymers has recently gained increasing attention in polymer and material sciences. The development of digital polymers with high-density information storage, efficient information encoding, and reliable information decoding is highly desirable. These three valuable characteristics depend significantly on the structure of the monomers used.…”
Section: Introductionmentioning
confidence: 99%
“…Tandem mass spectrometry (MS/MS) is currently the most widely used technique for sequencing general digital polymers, , although the primary mass spectrum , and nanopore technique , have been demonstrated to sequence few types of digital polymers with specific molecular structures. In the MS/MS technique, the polymer backbone is cleaved to form various chain fragments.…”
Section: Introductionmentioning
confidence: 99%
“…[10][11][12] However, there is potential to extend molecular evolution techniques to synthetic systems and access new regions of unexplored chemical space. 13,14 The physicochemical properties of such synthetic oligomers will depend on the chemical structure of the backbone and the functional groups that encode information, allowing exploitation in different environments from nucleic acids, i.e. in organic solvents, low temperature, etc.…”
Section: Introductionmentioning
confidence: 99%