Fernando Portela

The paper designs compact RNA sensors for complex functions of multiple inputs using crowdsourced designs and an algorithm, achieving applications like tuberculosis diagnosis.

A crowdsourced RNA design approach discovers efficient, reversible molecular sensors that couple small molecule inputs to protein binding and fluorogenic outputs.

The paper introduces EternaBrain, an automated RNA design algorithm trained on player moves from an RNA videogame, achieving performance comparable to human players on benchmark puzzles.

This paper introduces a Monte Carlo method that solves most RNA inverse folding puzzles better than existing methods and human designers.