Physics-based AI
for RNA engineering
Physics-grounded models for predicting, designing,
and optimizing RNA structures across research workflows.
RNAccess by Emergente
RNAccess is Emergente's on-demand platform for RNA structure prediction.
See RNAccess in action
PreQ1 Riboswitch
Caldanaerobacter subterraneus
Did you know RNA can act as a sensor? Riboswitches are fold-switching molecular sensors a cell uses to keep tabs on one specific chemical and adjust its own genes in response. The remarkable part of the preQ1 riboswitch is its scale: the sensing core is only about 34 nucleotides, and folds into a compact pocket that is exquisitely sensitive to quenosine precursors.
Our Products
RNAccess
A webserver for fast RNA structure prediction. Move from sequence to structural insight — no setup required.
RNAissance API
Integrate the RNAnneal engine directly into your pipelines.
Powered by RNAnneal
Best-in-Class RNA Structure Prediction Engine
RNAnneal is our engine that fuses physics simulation with generative AI to fold any RNA from scratch. It ranked #1 in 3 of 4 structural accuracy metrics and posted the highest interaction fidelity across the benchmark.
How faithfully the predicted base-pair and base-stacking network matches the experimental structure.
The average distance between atoms in a model and the reference structure after alignment.
The average distance between nucleobase centers in a rotation- and translation-invariant representation.
A deviation index that amplifies differences in 3D structure when the interaction network is broken: the eRMSD divided by the INF.