Topic

RNA design

RNA design is the inverse of structure prediction: given a target structure, or a set of structures a molecule should switch between, find a sequence that folds accordingly. The problem is underdetermined, i.e. many sequences fold into the same structure and some targets have no good sequence at all, so design is a search under constraints rather than a calculation. The thermodynamic model scores a candidate at equilibrium; whether it also switches in time has to be checked with a kinetic model, because a sequence can satisfy every structural constraint and still fold too slowly or through the wrong intermediate.

These posts cover ligand-triggered riboswitches designed with explicit kinetic criteria, the use of probing data in design decisions, an essay on mRNA vaccine design, and the rational design of mechanically active RNAs that resist an exoribonuclease, a direction that grew out of the flavivirus xrRNA work. The glossary defines ensemble defect and xrRNA.

Featured · Publications

Sequence editability of the theophylline RNA aptamer

Molecular dynamics of five theophylline aptamer variants whose binding site is left unchanged: which edits in the surrounding helices keep ligand recognition intact, and which weaken it from the outside.

Thu 13 August 2026
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Tue 12 May 2026
Publications

Rational design of mechanically active RNAs

This Nucleic Acids Research paper shows that synthetic xrRNAs can be designed from topological rules and validated experimentally as mechanically active RNAs.

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Thu 08 January 2026
Publications

A first look at rational design of mechanically active RNAs

A preprint-stage note on the design logic behind synthetic xrRNAs and mechanically active RNAs.

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Thu 23 March 2023
Publications

Strukturierte RNAs in Viren (in German)

In this mini-review we discuss the concept of RNA structure conservation in viruses, using exoribonuclease-resistant RNAs from flaviviruses as prominent examples

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Fri 18 November 2022
Outreach

The link between mRNA vaccine design and barbeque optimization

A short podcast appearance on optimization, data sharing, and what mRNA design can teach us about iterative engineering problems.

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