Articles
Notes on biomolecular AI and interpretability.
Interpretability Doesn’t End at the Model
From model explanations to biological questions worth testing.
TenesimBio Team · Serena Rosignoli, PhD · 7 min read
When Hypotheses Become Abundant
Biomolecular AI is making it easier to generate candidates, predictions and possible experiments. The next constraint may be less obvious: the amount of scientific attention required to decide what is actually worth pursuing.
TenesimBio Team · Serena Rosignoli, PhD · 6 min read
When a prediction reaches the bench
From the computational side, this can feel like an answer. From the experimental side, however, it is often the point where a different kind of work begins.
TenesimBio Team · Marta Valenti, PhD · 4 min read
What does it mean to understand a biomolecular AI model?
Reproducing a biomolecular AI model is a side of the problem. Following its scientific meaning from data to representation, computation and experimental decision is another.
TenesimBio Team · Serena Rosignoli, PhD · 5 min read