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

Sculptural illustration of protein states in distinct valleys of a molecular landscape.

Illustrative model example

Three states become two. The slow transition survives.

Consider a model in which states B and C exchange rapidly while A exchanges more slowly with both. Merging B and C gives a simpler question: how does the system move between A and the combined state? This illustrative model makes the acceptance test visible: preserve the slow relaxation time, then use the smaller representation for questions that depend on that mode.

  1. A · B · CThree-state model

    B and C exchange with probability 0.40 in each direction per lag.

  2. A · BCMerge the fast pair

    A → BC: 0.10 per lag. BC → A: 0.05 per lag.

  3. 6.15 → 6.15Slow relaxation, in lag units

    The analytical slow-mode survival ratio is 1.00.

Illustrative kinetic model using a source-derived transition matrix and consistent stationary weights. Values are analytical calculations, not measured molecular dynamics or a BioTwin execution result.
Explore the method and comparison sources
  • What goes in · Each lag, A stays A with probability 0.90 and moves to B or C with probability 0.05 each. B and C each stay put with probability 0.55, exchange with each other at 0.40, and return to A at 0.05. Their stationary populations are equal.
  • What comes out · The reduced model retains A and BC, with populations 1/3 and 2/3. Both models have the same slow eigenvalue, 0.85, giving a relaxation time of −1 / ln(0.85) = 6.15 lags. The faster B–C mode is removed.
  • The decision it supports · Use the two-state representation for this slow-relaxation question. Keep B and C separate when their individual behavior matters. Established MSM tools also support coarse-graining; BioTwin’s useful connection is to carry the preservation check alongside subsequent landscape questions.

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.