CASE STUDIES  /  RNASE P PROTEIN

Conformational change coupled to ligand binding

A ten-state kinetic model showing that the balance between conformational selection and induced fit is set by ligand concentration — not fixed by the protein.

Stopped-flow kinetics Global fitting Kinetic network modeling
P-Pro coupled folding and binding reaction scheme
P‑Pro coupling scheme. Three folding states — unfolded (U), intermediate (I), folded (F) — each binding pyrophosphate at the α-site (Lα), β-site (Lβ), or both (L₂). Conformational-selection pathways in blue, induced-fit in red, mixed in green; species unpopulated below 1 mM PPi are gray.
PUBLISHED IN
JACS, 2013
AUTHORS
Daniels et al.
MODEL
10 states
01
THE CHALLENGE

Conformational selection, or induced fit?

Molecular recognition carries a long-running debate. Does a ligand bind a high-affinity shape the protein already samples on its own — conformational selection, binding after folding — or does it bind first and pull the protein into shape — induced fit, binding before folding? The two are usually argued as mutually exclusive.

RNase P's P protein is an ideal place to settle it: folding and pyrophosphate (PPi) binding are tightly coupled, with ligand able to bind at multiple sites across multiple folding states.

Free-energy landscape of RNase P protein folding and ligand binding, with labeled states
The free-energy landscape of RNase P protein at 3µM ligand: each labeled well is a species from the scheme above, and its depth is its stability. Red pathways are conformational selection, white are induced fit and blue is mixed.
02
WHAT WE DID

One model, fit to everything at once

We built a ten-state kinetic network — every combination of folding state and ligand-bound state — and fit it globally across stopped-flow experiments spanning a range of ligand concentrations. Every rate constant was constrained to be consistent across all conditions simultaneously, so the mechanism had to explain the full dataset, not one curve at a time.

Because the fit returns every microscopic rate constant, we could compute the fractional flux through all 18 folding-and-binding pathways as a function of [PPi] — turning “which mechanism?” into a direct, per-pathway accounting.

10
kinetically distinct states resolved
18
folding-and-binding pathways quantified
~90%
conformational-selection flux at low [PPi]
03
WHAT IT REVEALED

A mixed mechanism tuned by ligand concentration

Flux is continuously partitioned between the two mechanisms, with pyrophosphate concentration setting the balance. At low [PPi], ~90% of it runs through conformational selection — the protein folds on its own and PPi binds the already-folded state. Near the apparent Kd, the two run side by side; well above it, induced-fit and mixed routes take over. The mechanism isn't a fixed property of the protein, nor a binary choice between the two — it's a continuously shifting balance set by the conditions.

Conformational selection and induced fit aren't rival answers — they're two ends of a continuum, and ligand concentration sets where you sit on it.

Fractional flux color scale, 0.0 to 0.4 Fractional population color scale, 0.0 to 1.0
MOVIE — The kinetic network as [PPi] rises. Each line is a pathway: its color and width show the fractional flux it carries; each node's color shows that species' fractional population. Flux redistributes from conformational-selection to induced-fit routes as ligand increases.
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