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Recognition-Encoded Molecules: a Minimal Self-Replicator.
Rosa-Gastaldo, Daniele; Ara, Francesco Maria; Dalla Valle, Andrea; Visentin, Giulia; Gabrielli, Luca.
Afiliação
  • Rosa-Gastaldo D; Università degli Studi di Padova, Scienze Chimiche, via Marzolo 1, 35131, Padova, ITALY.
  • Ara FM; Università degli Studi di Padova, Department of Chemical Sciences, ITALY.
  • Dalla Valle A; Università degli Studi di Padova, Department of Chemical Sciences, ITALY.
  • Visentin G; Università degli Studi di Padova, Department of Chemical Sciences, ITALY.
  • Gabrielli L; Università degli Studi di Padova, Department of Chemical Sciences, via Marzolo 1, 35131, Padova, ITALY.
Chemistry ; : e202401667, 2024 Sep 05.
Article em En | MEDLINE | ID: mdl-39235971
ABSTRACT
Nucleic acids, with their unique duplex structure, which is key for information replication, have sparked interest in self-replication's role in life's origins. Early template-based replicators, initially built on short oligonucleotides, expanded to include peptides and synthetic molecules. We explore here the potential of a class of synthetic duplex-forming oligoanilines, as self-replicators. We have recently developed oligoanilines equipped with 2-trifluoromethylphenol-phosphine oxide H-bond base pairs and we investigate whether the imine formed between aniline and aldehyde complementary monomers can self-replicate. Despite lacking a clear sigmoidal kinetic profile, control experiments with a methylated donor and a competitive inhibitor support self-replication. Further investigations with the reduced aniline dimer demonstrate templated synthesis, revealing a characteristic parabolic growth. After showing sequence selective duplex formation, templated synthesis and the emergence of catalytic function, the self-replication behaviour further suggests that the unique properties of nucleic acids can be paralleled by synthetic recognition-encoded molecules.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article