Message availability
A candidate depends on an mRNA transcript being present and accessible to translation. Transcript production, processing and surveillance can influence that starting point.
ENGINE 02 / TRANSLATION SMALL-WORLD
One molecule enters
a connected world.
Translation is not a single reaction. It links the availability of a message with ribosome behaviour, termination, surveillance, cellular state and the production of useful protein. KritRNA’s second engine is being developed to study candidate choices in that wider context.
Think beyond
the sequence.
We call this our translation small-world perspective: closely connected molecular processes can transmit the consequences of a local intervention through the wider system.
The visual is an intentionally irregular, depth-resolved illustration of interconnected biology. It communicates the idea of systems thinking without exposing a proprietary network or displaying simulated therapeutic performance.
BIOLOGY IS CONNECTED
Message availability, translation, quality control and protein output influence one another.
THE BIOLOGICAL QUESTIONSFROM THE MESSAGE TO THE PROTEIN
Ribosome behaviour
Decoding occurs in a moving molecular system. Local sequence context, pausing and interactions with other ribosomes can shape the outcome.
Termination and continuation
At a stop codon, the balance between termination and suppressor-tRNA activity matters. The relevant question is productive continuation in the selected context.
Quality control and cellular response
Cells monitor messages, stalled ribosomes and proteins. These responses can affect both candidate performance and the interpretation of an experiment.
Protein production and function
A longer protein is not automatically a useful one. The amount, identity, stability and function of the restored protein remain important experimental endpoints.
Feedback into candidate choice
The purpose of systems thinking is to identify dependencies and design better experiments, then return what is learned to the next candidate decision.
WHAT THE MODEL IS FORMake dependencies visible.
Make dependencies visible.
Make experiments count.
The intended output is a set of testable hypotheses: which biological dependencies may matter, where a candidate could encounter a bottleneck, and which measurements would most usefully challenge that expectation.
Engine 01 and Engine 02 are complementary. Candidate design asks what to build. Systems thinking asks what to examine around it. Experiments then determine which interpretations survive and how the next choices should change.
Different assays measure different outcomes. A readthrough signal, a full-length protein measurement and a functional rescue result are related observations—not interchangeable proof. Preserving their context is part of the platform’s intended scientific discipline.
Built to be questioned.
Developed through evidence.
Engine 02 is an architecture under development. Our goal is a useful scientific decision system, calibrated against experiments and clear about uncertainty.
Return to the connected platform ↗Discuss a scientific collaboration ↗