Scientific capability / Temporal Renormalization and Slow-Mode Survival

Simplify the state model. Keep the transition that matters.

Many fast exchanges can obscure the slower event a program cares about. BioTwin’s temporal-renormalization method asks whether those exchanges can be merged while preserving the slow relaxation behavior of a supplied kinetic model.

Current work Developing computational method

Check what the reduction changes

The declared operation merges rapidly exchanging macrostates, then compares a remaining slow relaxation timescale with the original model. It takes transition and stationary models as inputs. A smaller state count is useful only when the dynamics relevant to the question survive.

Work alongside established kinetic modeling

Markov-state-model tools such as deeptime already estimate, analyze and coarse-grain dynamics. BioTwin’s proposed use connects its slow-mode check to ensemble representations and downstream landscape questions. A binding-state comparison could then retain both a reduced model and the evidence for accepting that reduction. A competent conventional MSM workflow is the appropriate comparison for any claim of saved work.

Conformations alone do not supply a clock

This reduction method is under development. Related kinetic calculations are implemented, while the reduction’s scientific performance still needs evaluation. Arbitrary or uniform transitions between structural conformers do not establish molecular rates. Start from a defensible trajectory or kinetic model, and compare retained timescales and transitions on held-out data.

Further reading

Bring a kinetic model with a transition worth preserving.

The useful reduction is the one that keeps the behavior your downstream decision depends on.