the holy grail: quantitative stability/flexibility relationships (qsfr)

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The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

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The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR). The mDCM is a heterogeneous mean field theory that directly relates thermal stability to mechanical flexibility. Livesay et al. (2004). FEBS Letters 576:468-476. Jacobs & Dallakyan (2005). Biophysical J. 88:903-915. - PowerPoint PPT Presentation

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Page 1: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The Holy Grail:Quantitative Stability/Flexibility Relationships (QSFR)

Page 2: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The mDCM is a heterogeneous mean field theory thatdirectly relates thermal stability to mechanical flexibility

more native -like torsion constraints

more intramolecular H

-bond crosslinking

Nnt

Nhb

native -likeconstraint topologies

denaturedconstraint topologies

Livesay et al. (2004). FEBS Letters 576:468-476.Jacobs & Dallakyan (2005). Biophysical J. 88:903-915.

Z =Nhb =1

Nhbmax

∑ e− G(Nhb ,Nnt )

RT

Nnt =1

Nntmax

G = −RT lnZ

G(Nhb,Nnt ) =U(Nhb ) + u(Nhbmax −Nhb ) + v(Nnt )

−T Sconf (Nhb,Nnt | γ,δnat ,δdis) + Smix (Nhb,Nnt ){ }

Page 3: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

mDCM work flow…

Livesay et al. (2004). FEBS Letters 576:468-476.Jacobs & Dallakyan (2005). Biophysical J. 88:903-915.

Page 4: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

What are the DCM parameters?Fitting ubiquitin and HBP Cp measurements

Jacobs & Dallakyan (2005). Biophysical J. 88:903-915.

Page 5: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Introducing a global flexibility order parameter = #IDF / residue

Page 6: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Rel

ativ

e fr

ee e

nerg

y (k

cal/m

ol)

Comparison of ubiquitin and HBP free energy landscapes

Global flexibility order parameter

1.0 2.0 3.0

Global flexibility order parameter

1.0 2.0 2.51.5

Rel

ativ

e fr

ee e

nerg

y (k

cal/m

ol)

1.0

2.0

0.0

1.0

2.0

0.0

3.0

4.0

5.0

0.5

331 K335 K338 K

330 K

Ubiquitin Histidine binding protein

Jacobs & Dallakyan (2005). Biophysical J. 88:903-915.

Page 7: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Rel

ativ

e fr

ee e

nerg

y (k

cal/m

ol)

Global flexibility order parameter

1.0 2.0 3.0

Global flexibility order parameter

1.0 2.0 2.51.5

Rel

ativ

e fr

ee e

nerg

y (k

cal/m

ol)

1.0

2.0

0.0

1.0

2.0

0.0

3.0

4.0

5.0

0.5

331 K335 K338 K400 K

330 K

Comparison of ubiquitin and HBP free energy landscapes

Ubiquitin Histidine binding protein

Jacobs & Dallakyan (2005). Biophysical J. 88:903-915.

Page 8: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Model generality:Holding max and dis fixed while fitting the remaining 3 parameters

Livesay et al. (2004). FEBS Letters 576:468-476.

Page 9: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Flexibility Index Prob. to Rotate

Prob. of IDOF G(na)

ThioredoxinJacobs, Livesay, et al. (2006). J Mol Biol 358, 882–904

Page 10: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Quantifying MolecularCooperativity

Gly33 Met37

Gln50 Arg73

Jacobs, Livesay, et al. (2006). J Mol Biol 358, 882–904

Page 11: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The extent of cooperativity correlation within the ensemble is dependent on temperature

Page 12: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Introducing QSFR…

Page 13: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The mesophilic/thermophilic RNase H pair

* *1ril -RKRVALFTDGACLGNPGPGGWAALLRFHAHEKLLSGGEACTTNNRMELKAAIEGLKALKE2rn2 MLKQVEIFTDGSCLGNPGPGGYGAILRYRGREKTFSAGYTRTTNNRMELMAAIVALEALKE *1ril PCEVDLYTDSHYLKKAFTEGWLEGWRKRGWRTAEGKPVKNRDLWEALLLAMAPHRVRFHFV2rn2 HCEVILSTDSQYVRQGITQ-WIHNWKKRGWKTADKKPVKNVDLWQRLDAALGQHQIKWEWV

1ril KGHTGHPENERVDREARRQAQSQAKT--------2rn2 KGHAGHPENERCDELARAAAMNPTLEDTGYQVEV

Alpha-helix; Beta-strand; Catalytic site

Identity conservedChemically conserved

Without conservation

Page 14: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Not all theories are created equal…A simple electrostatics-only model actually predicts the mesophilic

ortholog to be more stable than its thermophilic counterpart!

pH 3.5

pH 3.5

Poisson-Boltzmann ElectrostaticsThe Distance Constraint Model

Parameter differences are believed to retain physical meaning. Because these experiments are done under identical experimental conditions and their structures are remarkably similar, parameter differences should reflect intrinsic thermodynamic differences between the pair.

Livesay, Jacobs (2006). Proteins 62:130-143.

-15

0

15

30

45

0 1 2 3 4 5 6 7 8 9 10

pH

deltaG(elec) (kcal/mol)

Thermophilic (1ril)

Mesophilic (2rn2)

Difference (Thermo - Meso)

0

10

20

30

290 310 330 350 370

Temperature (K)

Heat capacity (kcal/mol*K)

Ishikawa et al., (1993) J. Mol. Biology 230:529-542

“Thus the exquisite rearrangement of the hydrophobic side-chains, including some favorable aromatic-aromatic interactions, is likely to contribute to the increased stability of T. thermophilus RNase H.”

Page 15: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Livesay, Jacobs (2006). Proteins 62:130-143.

Page 16: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Livesay, Jacobs (2006). Proteins 62:130-143.

Hollien & Marqusee (1999), PNAS

Page 17: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The mDCM can identify allostery through flexibility correlation

Livesay, Jacobs (2006). Proteins 62:130-143.

Page 18: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Livesay, Jacobs (2006). Proteins 62:130-143.

The mDCM can identify allostery through flexibility correlation

Page 19: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Parameter error analysis indicates that theflexibility quantities are remarkably robust

PR

(nati

ve b

asi

n o

nly

)P

R (n

ati

ve b

asi

n o

nly

)

Livesay, Jacobs (2006). Proteins 62:130-143.

Page 20: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Parameter error analysis indicates that theflexibility quantities are remarkably robust

Livesay, Jacobs (2006). Proteins 62:130-143.

A random good fit Another random good fit

A bad fit The best fit

10 random good vs. a bad fit

E. coli

T. thermophilus

Page 21: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Parameter error analysis indicates that theflexibility quantities are remarkably robust

Livesay, Jacobs (2006). Proteins 62:130-143.

Supp. Fig. 1. Best fit u,v pairs are plotted against a coarse-grained nat range. In all instances, the best fit u,v pairs indicate that an additional cohesive force (interpreted as hydrophobic in nature) is present within the thermophilic ortholog. The robustness of the observed cohesive force strongly substantiates the conclusions made herein regarding the improved hydrophobic packing of the thermophilic ortholog.

Page 22: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

QSFR variability emerges through (subtle)differences within the H-bond network

Page 23: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The bacterial Periplasmic Binding Protein family

bPBP

ATP-binding domains

Transmembrane domains

Substrate

-- Extracellular --

-- Periplasm --

-- Cytosol --

Page 24: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Structure superposition of four bPBP homologs

Livesay, et al. (2008). Chemistry Central Journal, 2:17.

Page 25: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Local vs. global structural similarity

Livesay, et al. (2008). Chemistry Central Journal, 2:17.

Page 26: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Diversity within QSFR arises from subtledifferences within the H-bond network

R = 0.92R = -0.97

Livesay, et al. (2008). Chemistry Central Journal, 2:17.

Page 27: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Comparisons to apo vs. halo DSC experiments strongly supports the diversity observed within the mDCM results

apo-HBP

ligated-HBP

LAOBPGBP

mDCM results Kreimer et al. (2000), Eur J. Biochem.

Tm ~ 10KTm ~ 10K

Livesay, et al. (2008). Chemistry Central Journal, 2:17.

Page 28: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Backbone flexibility is predicted to be conserved

Livesay, et al. (2008). Chemistry Central Journal, 2:17.

Page 29: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Despite flexibility similarity along the backbone, cooperatively correlation varies significantly

HBP LAOBP GBP

Livesay, et al. (2008). Chemistry Central Journal, 2:17.

Page 30: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Diversity within QSFR characteristics arise fromsubtle differences within the H-bond network

HBP (red) vs. LAOBP (blue) HBP (red) vs. GBP (green)

Livesay, et al. (2008). Chemistry Central Journal, 2:17.

Page 31: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Similar amounts of (dis)similarity are observedwhen comparing open vs. closed conformations

Ligate

d (

close

d)

Apo (

open)

Fle

xibi

lity

inde

x

Livesay, et al. (2008). Chemistry Central Journal, 2:17.

Page 32: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Not quite science fiction: The ability to design a protein witha specific cooperative response may not be that far away…

Using this protocol, we designed a de novo hydrogen bond network…

Page 33: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

A similar narrative is emerging from ourcomparisons of the thioredoxin family

Mottonen, et al., Proteins, in press.

Page 34: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The TRX family

Mottonen, et al., Proteins, in press.

Page 35: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Rigid cluster susceptibility

Mottonen, et al., Proteins, in press.

Page 36: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

Relative locations of key points describing the mechanical vs. thermodynamic transitions

Mottonen, et al., Proteins, in press.

Page 37: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

As with the bPBP family, backbone flexibility is mostly conserved across the TRX family

Mottonen, et al., Proteins, in press.

Page 38: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

As with the bPBP family, backbone flexibility is mostly conserved across the TRX family

Mottonen, et al., Proteins, in press.

Page 39: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

QSFR diversity is explained by comparing key pointsalong the mechanical vs. thermodynamic transition

Mottonen, et al., Proteins, in press.

Page 40: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The observed QSFR differences are consistent with the amount of differences within the H-bond network

Mottonen, et al., Proteins, in press.

Page 41: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

TRXox vs. TRXred

QSFR response is a long-range effect

Mottonen, et al., Proteins, in press.

Page 42: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

A similar narrative is emerging from ourcomparisons of the thioredoxin family

Periplasm(an oxidizing environment)

Cytosol(a reducing environment)

DsbAred

DsbAox

Trxred

Trxox

Mottonen, Livesay, Jacobs. In preparation.

Page 43: The Holy Grail: Quantitative Stability/Flexibility Relationships (QSFR)

The mDCM correctly predicts trends withinknown DsbA vs. Trx functional roles

Mottonen, Livesay, Jacobs. In preparation.