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Biology subjects

Markvoort, A. J.

Publications and source records attributed to Markvoort, A. J..

2 recordsLinked to original sources

DNA-GUARD: molecular access control as a physical security layer for DNA data storage

DNA data storage offers exceptional density and millennial-scale stability, with advances in encoding schemes and reduced synthesis costs making large-scale archiving increasingly viable. However, while efforts have focused on reliable data retrieval, securing DNA-encoded information against unauthorized access remains largely unexplored. Here, we introduce DNA-GUARD (DNA Gated Unlocking and Access Restriction of Data), a molecular-level access control system that physically restricts data retrieval rather than relying on computational encryption. DNA-GUARD integrates with PCR-based random access by selectively blocking amplification of protected sequences. Chemically modified "locker strands" outcompete PCR primers and block polymerase extension through 3 inverted dT modifications, preventing amplification of key sequences required for file decoding. To restore access, complementary "password strands" tethered to magnetic particles sequester locker strands, enabling their removal and restoring data access. We demonstrate DNA-GUARDs scalability from 550-byte to 1-MB files without performance loss, orthogonal control of multiple files within mixed libraries, and reliable repeated locking-unlocking cycles. This approach enables physical access control compatible with established DNA storage workflows, providing a foundation for secure archival storage with implications for molecular information security that complements cryptographic data protection methods.

synthetic biology↗

A general framework for straightforward model construction of multi-component thermodynamic equilibrium systems

Mathematical modelling of molecular systems helps elucidating complex phenomena in (bio)chemistry. However, equilibrium conditions in systems consisting of more than two components can typically not be analytically determined without assumptions and resulting (semi-)numerical models are not trivial to derive by the non-expert. Here we present a framework for equilibrium models that utilizes a general derivation method capable of generating custom models for complex molecular systems, based on the simple, reversible reactions describing these systems. Several molecular systems are revisited via the framework and demonstrate the simplicity, the generality and validity of the approach. The ease of use of the framework and the ability to both analyze systems and gain additional insights in the underlying parameters strongly aids the analysis and understanding of molecular equilibrium systems. This conceptual framework severely reduces the time and expertise requirements which currently impede the broad integration of these highly valuable models into chemical research.

biochemistry↗