In [17]:
from mdtraj.html import TrajectoryView, enable_notebook
enable_notebook()


Notes on: "The ensemble nature of allostery" (Motlagh, Wrabl, Li, and Hilser, 2014, Nature) http://www.nature.com/nature/journal/v508/n7496/pdf/nature13001.pdf

Intro

  • Allostery: nonlocal effects of binding in macromolecules
  • Effects are statistical: must consider conformational ensemble
  • Motivation: allostery required for molecular understanding of signaling and disease, but we do not yet have a general, quantifiable, and predictive atomic description
  • History: allostery concepts shaped by experimental accessibility-- early days strongly influenced by static structural images of e.g. hemoglobin; current models reveal:
    • rigid body movement
    • folded yet dynamic structure
    • intrinsic disorder

From structures to ensembles

  • Early statement of allostery: multiple binding sites within a protein can interact at a distance (Changeux, ref. 2) $\to$ two dominant phenomenological models of change between two well-defined end states:
    • "sequential" (Koshland, Nemethy, Filmer)
      • protein flexibility: "induced fit" of a binding site
    • "symmetric" (Monod, Wyman, Changeux)
      • ligand-binding changes equilibrium between two pre-existing quaternary states: tensed (T) and relaxed (R)
  • How does the structure facilitate allosteric communication between sites?
    • Structure-centric approach (Perutz): understand allostery in terms of structural changes inferred from hi-res structure
      • Limitations: must also understand factors that "poise" an allosteric protein for structural change-- allosteric transitions involve multiple states
    • Dynamic allostery without conformational change
      • Width of conformational distribution indicates allostery (Cooper, Dryden, 1984) -- changes in frequency and amplitude of thermal fluctuations in a protein upon ligand binding $\to$ cooperative energies of $O\left(\frac{\text{kcal}}{\text{mol}}\right)$

The dynamic continuum of allostery

  • Solution NMR:
    • measure fast internal motion as a proxy for conformational entropy
    • can now detect motion in proteins over a wide range of timescales
    • pico- to nano-second range most important for detecting conformational entropy
  • From least to most disordered:
    • Rigid body motions (e.g. hemoglobin)
    • Side-chain dynamics (e.g. PDZ domain)
    • Backbone dynamics (e.g. CAP)
    • Local unfolding (e.g. AAC, TetR)
    • Intrinsically disordered (Phd, AS, E1A)

Structured yet dynamic allosteric systems

  • Structured allosteric proteins show dynamic changes in many cases and are convenient to probe with NMR
  • Following (Cooper, Dryden, 1984) -- allostery without structural change demonstrated in several studies (highlighting limitations of inferring mechanism from static structure):

    • CAP (homodimeric transcription factor with a cAMP binding domain and DNA binding domain)
    • PDZ domain
  • CAP

    • cAMP binding $\to$ $\Delta$ conformational entropy (via backbone and side-chain dynamics)

In [18]:
CAP = mdtraj.load_pdb("http://www.rcsb.org/pdb/files/1cgp.pdb")
widget = TrajectoryView(CAP, secondaryStructure='ribbon')
widget
  • PDZ domain: removal of an $\alpha$-helix:
    • increases side-chain dynamics of distal binding site
    • decreases binding affinity 25-fold (almost entirely due to entropic contributions)

In [19]:
PDZ = mdtraj.load_pdb("http://www.rcsb.org/pdb/files/1BE9.pdb")
widget = TrajectoryView(PDZ, secondaryStructure='ribbon')
widget

Local unfolding and intrinsic disorder

  • intrinsic disorder enables "tunable" coupling between sites
  • AAC
    • structure: homodimeric enzyme
    • function: confers resistance to amino-glycoside antibiotics
    • allosteric effector: acetyl-CoA
      • binds with positive cooperativity at low temperatures, negative cooperativity at high temperatures due to local unfolding
  • $\alpha$-synuclein
    • N-terminal membrane-binding domain
    • C-terminal IDR
    • Nitration shifts conformational ensemble to more globally extended conformation, reducing affinity of membrane-binding domain
  • Many TFs contain intrinsically disordered regions, and many are also allosterically regulated, simultaneously exhibiting:
    • high specificity for multiple targets
    • low-affinity binding
    • fast association and dissociation rate
    • enrichment of PTM sites

Allosteric ligands remodel the energy landscape

  • Historical side-note: Early example of treating allosteric proteins as ensembles: $\lambda$ repressor in phage (consideration of all accessible ligated states required to understand function)
  • All ensembles have tunable sensitivity, and may contain a large number of potential allosteric mechanisms

Tunable sensitivity in allosteric ensembles

  • Consider a two-state allosteric protein:
    • effector ligand binds to and stabilizes active site
    • observed response dependent on where equilibrium is poised before activation:
      • inactive state too dominant: addition of effector increases conformational entropy
      • active state already dominant: addition of effector decreases conformational entropy
      • both states equally populated: addition of effector has almost no effect on conformational entropy (?)

The ensemble view as a framework

  • What determines positive/negative coupling between binding sites?

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