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R002 - Molecular simulations

This report details our observations from classical molecular dynamics (MD) simulations of roGFP2 1 with

  • the anionic chromophore in the ground state;
  • neutral and anionic Glu222.

roGFP2 is derived from enhanced GFP (eGFP; S65T and F64L mutations) with S147C and Q204C mutations. These simulations allow us to probe the affect of roGFP2 oxidation and Cu(I) binding of Cys147 and 204. We performed the following three sets of simulations.

Cys147 and Cys204 remain in their reduced (i.e., protonated) form.

Disulfide bridge between Cys147 and Cys204.

Reduced Cys147 and Cys204 with a coordinated Cu(I).

Differences between reduced and oxidized states are indicative of the canonical roGFP2 atomistic mechanism. If we observe similar differences between reduced and copper states, this would suggest a similar mechanism as the oxidized state; however, deviations between oxidized and copper would suggest a separate mechanism.

The figure below shows relevant residues involved in our analysis.

Backbone

First, we investigate the structural dynamics of Cys147 and Cys204 interactions by analyzing the C\(_\alpha\)-C\(_\alpha\) distances. Experimental structures of both the reduced (PDB ID: 1JC0) and oxidized (PDB ID: 1JC1) states of for roGFP2 exhibited a mean C\(_\alpha\)-C\(_\alpha\) distance of 4.30 ± 0.12 and 4.07 ± 0.09, respectively. 1 Our MD simulations agreed well with experimental observations as shown in the following table.

Table 1: C\(_\alpha\)-C\(_\alpha\) distance mean ± 2\(\sigma\).

State Experimental (Å) MD simulations (Å)
Reduced 4.30 ± 0.12 4.34 ± 0.47
Oxidized 4.07 ± 0.09 4.11 ± 0.29
Cu(I) N/A 4.78 ± 0.82

Larger standard deviations, \(\sigma\), would be expected for molecular simulations due to capturing the dynamic fluctuations in solution. Figure 1 shows the observed distribution of C\(_\alpha\)-C\(_\alpha\) distances.

Figure 1: C\(_\alpha\)-C\(_\alpha\) distance probability density.

For more figure information, go here.

Cu(I) binding to Cys147 and Cys204 in roGFP2 induces significant structural changes, particularly in the protein's conformation. The observed increase in the C\(_\alpha\)-C\(_\alpha\) distance from approximately 4.3 Å to a broader distribution centered around 4.48 Å and 4.96 Å indicates a marked increase in conformational flexibility. Cu(I) coordination to Cys147 and Cys204 thiolates (R-S) also hinders rotational flexibility with respect to the thiols (R-S-H) in the reduced simulations.

Figure 2: Probability density of sulfur atom distance between Cys147 and Cys204.

For more figure information, go here.

These two cystines are near residues that play a crucial role in the GFP mechanism; thus, one would expect differences in the protein backbone \(\phi\) and \(\psi\) angles. In the following sections, we show two-dimensional histograms of the potential of mean force (PMF) of these backbone angles (i.e., Ramachandran plot). We will refer to these plots as backbone PMFs.

Cys147

Differences in oxidized and Cu(I) in the \(\phi\) dihedral angle (Asn146 C Cys147 N-C\(_\alpha\)-C dihedral) are observed with respect to the reduced simulations. In particular, Cu(I) simulations have substantially reduced \(\phi < 90\) angles that are frequently observed in both reduced and oxidized states. \(\psi\) ranges are also increased upon the binding of Cu(I).

Asn146

Indeed, the large \(\phi\)Cys147 distribution shift we observe also impacts Asn146. Reduced and oxidized simulations exhibit an additional local minima around \(\phi\)Asn146 = -115° and \(\psi\)Asn146 = 220° not present in Cu(I) simulations. Elimination of this configuration would likely have large impacts on overall dynamics.

Tyr145

We do see some differences in oxidized and Cu(I) simulations; however, these are subtle compared to Asn146.

His148

On the other side of Cys147, we see that His148 backbone dihedrals are relative similar across simulations. Cu(I) does have slightly larger ranges (i.e., backbone flexibility), but this does not appear nearly as drastic as Asn146.

Cys204

Changes in Cys204 would arguably have drastic consequences for roGFP2 florescence due to the adjacent residues (e.g., Thr203 and Ser205). Here, we see enhanced flexibility in \(\psi\)Cys204 for oxidized simulations in the 70 to 120° region to favor cis conformations—even more so in Cu(I) simulations. Cu(I) simulations also have reduced entropy around \(\phi\)Cys204 = -145° and \(\psi\)Cys204 = 150°.

Thr203

Reduced and oxidized simulations show similar Thr203 backbone conformational dynamics. Cu(I) simulations, on the other hand, has dramatically reduced flexibility with a minima around \(\phi\)Thr203 = 175° and \(\psi\)Thr203 = 155°.

Ser205

Here, we see similarly enhanced flexibility in both oxidized and Cu(I) simulations.

Summary

Distinct structural changes in the protein backbone are observed upon oxidation or Cu(I) binding to Cys147 and Cys204 of roGFP2. Besides clear differences in cysteine sensor dynamics, there is clear evidence of structural changes in nearby residues also relevant for chromophore florescence.

  • Reduced and oxidized simulations have similar Asn146 backbone dynamics—whereas Cu(I) binding exhibits substantial deviations.
  • Thr203 also has large changes in Cu(I), but not in oxidized, simulations.

Other residues do have subtle differences between the reduced, oxidized, and Cu(I) simulations.

Beta sheets

In this section, we further analyze potential changes in roGFP2's secondary structure. Most of these aforementioned residues are either in, or near, antiparallel beta sheet. Changes in these backbones could therefore stabilize or destabilize the hydrogen-bonding network. Below, we show two relevant -NH to O= hydrogen bonding near the cysteine sensor residues.

His148 to Thr203

Forming a disulfide bond between Cys147 and Cys204 substantially stabilizes the beta-sheet. Indeed, the hydrogen bonding probability increases from 0.865 to 0.997 when using a H to O cutoff of 2.5 Å. (For a cutoff rationale, please see our protocol.) Cu(I) binding induces the opposite effect by destabilizing the beta strand with a probability of 0.063 of forming the hydrogen bond.

We can elucidate the mechanism by plotting 2D histograms of this His148 -NH to Thr203 =O distance with respect to relevant dihedral angles. If correlated, we would see distinct patterns in the PMFs.

The figures below show this distance with respect to \(\psi\)Thr203 or \(\phi\)His148. Larger distances (i.e., destabilized beta-sheet) are weakly correlated with \(\psi\)Thr203; with distances beyond 2.5 Å are primarily observed in trans-like conformations. Values of \(\phi\)His148 do not appear to be more relevant for longer distances as the 2D PMF appears roughly symmetric across the y-axis.

Asn146 to Ser205

On other other side of Cys147 and Cys204, there is little hydrogen bonding present in the reduced simulations with only a 0.047 probability. Hydrogen bond probability increases to 0.144 during the oxidized simulations, but no hydrogen bonding is observed.

Summary

Destabilization of the beta sheet is observed at His148-Thr203 when Cu(I) binds to Cys147 and Cys204. An opposite response (i.e., beta sheet stabilization) occurs at Asn146-Ser205. Other backbone hydrogen bonds did not exhibit any notable differences.

Cro66 interactions

Oxidized and Cu(I) simulations show markedly different backbone dynamics. While important, protein interactions with Cro66 are of particular interest.

His148

His148 HD1 is typically around 1.85 Å away from the anionic phenolate oxygen in the chromophore; however, the 3.97-Å state is only 0.6 kcal/mol higher in energy. TODO: write more.

We first employed Partial Least Squares (PLS) regression to probe relationships between Cys147 and Cys204 adjacent backbone and His148 stabilization of Cro66.

TODO: introduce magnitude analysis

Feature (i.e., loading) analysis
Feature Reduced Oxidized Cu
U: Cro66-OH - Tyr145-HH distance 1.1723 1.5843 (+0.4120) 1.4045 (+0.2321)
V: His148-HD1 - Asn146-O distance 0.5246 1.4431 (+0.9185) 1.6406 (+1.1160)
R: Ser205-H - Asn146-O distance 1.0476 1.2773 (+0.2297) 1.0389 (-0.0087)
X: Tyr145-HH - Thr64-OG1 distance 0.2535 1.4213 (+1.1678) 1.3103 (+1.0569)
E: Asn146-C Cys147-N-CA-C dihedral 0.8477 1.5905 (+0.7429) -0.9456 (-1.7933)
D: Asn146-N-CA-C Cys147-N dihedral -0.0691 1.5514 (+1.6205) 0.0019 (+0.0710)
W: His148-NE2 - Arg168-H distance 1.0172 0.6072 (-0.4101) -0.2798 (-1.2971)
Q: His148-H - Thr203-O distance 0.7787 -0.0253 (-0.8040) 0.3870 (-0.3917)
T: Cro66-OH - Thr203-HG1 distance 1.0087 -0.9522 (-1.9610) 0.9064 (-0.1024)
B: Tyr145-N-CA-C Asn146-N dihedral -0.5780 -0.3229 (+0.2551) 1.3725 (+1.9505)
J: Thr203-N-CA-C Cys204-N dihedral 1.6612 -0.7686 (-2.4297) -0.4732 (-2.1344)
C: Tyr145-C Asn146-N-CA-C dihedral -0.7601 -0.8721 (-0.1121) 1.8009 (+2.5610)
M: Cys204-C Ser205-N-CA-C dihedral 0.0587 0.4413 (+0.3826) -0.4923 (-0.5509)
I: Ser202-C Thr203-N-CA-C dihedral 1.0124 -0.5819 (-1.5943) -0.6602 (-1.6726)
K: Thr203-C Cys204-N-CA-C dihedral 1.1614 -1.0137 (-2.1751) -0.5171 (-1.6785)
F: Cys147-N-CA-C His148-N dihedral -0.8343 0.0357 (+0.8700) 0.3653 (+1.1996)
L: Cys204-N-CA-C Ser205-N dihedral -1.1887 0.7738 (+1.9625) -0.4423 (+0.7464)
H: His148-N-CA-C Asn149-N dihedral 0.2798 -1.0016 (-1.2813) -0.3437 (-0.6235)
G: Cys147-C His148-N-CA-C dihedral -1.1952 -1.1463 (+0.0490) 0.0739 (+1.2691)
N: Ser205-N-CA-C Ala206-N dihedral -1.4592 -0.4201 (+1.0391) -0.9098 (+0.5495)
S: Cys204-O - Phe223-H distance -0.7219 -1.0063 (-0.2844) -1.1213 (-0.3994)
P: Glu222-N-CA-C Phe223-N dihedral -1.0731 -0.8803 (+0.1929) -1.2789 (-0.2058)
A: Asn144-C Tyr145-N-CA-C dihedral -1.5302 -0.6018 (+0.9284) -1.1970 (+0.3332)
O: Leu221-C Glu222-N-CA-C dihedral -1.4138 -1.1329 (+0.2809) -1.6410 (-0.2272)

TODO: introduce feature correlation analysis.

Thr203

Both Thr203\(\phi\) and Thr203\(\psi\) have consistently large weight across simulations with varying importance. Differences in His148 and Thr203 backbone hydrogen bonding likely influences His148 flexibility. Indeed, perturbing (i.e., destabilizing) the His148 –NH to Thr203 =O hydrogen bond correlates to decreased Cro66 stabilization through His148.

To extend these findings, we employed two machine learning models: XGBoost and ElasticNet. These models provided feature importance scores, offering an additional perspective on the relative significance of each dihedral angle in determining His148's conformation.

TODO: His148 HD1 - Asn146 O distance (O)

Tyr145

Furthermore, we see parallel results to His148 in Tyr145 dynamics. Both reduced and oxidized simulations primarily have sharp peaks around 1.80 Å between the Tyr145 phenolic hydrogen and Cro66. This hydrogen bonding would further stabilize the anionic chromophore. However, a bimodal peak is observed upon Cu(I) binding due to changing dynamics in Cys147 and Cys204. A second peak at 4.42 Å is only 1 kcal/mol higher in energy than the 1.75 Å minimum with a 2.0 kcal/mol barrier.

TODO: Thr64 OG1 is protonated; no hydrogen bonding (just a point of reference).

Feature (i.e., loading) analysis
Feature Reduced Oxidized Cu
C: Tyr145-HH - Thr64-OG1 distance 1.4841 2.1695 (+0.6854) 1.0371 (-0.4470)
M: Thr203-N-CA-C Cys204-N dihedral 1.7662 -0.0721 (-1.8383) 1.5975 (-0.1686)
X: Cro66-OH - His148-HD1 distance 1.4357 1.1834 (-0.2523) 0.6695 (-0.7661)
W: Cro66-OH - Thr203-HG1 distance 1.5014 0.3300 (-1.1714) 0.5725 (-0.9289)
N: Thr203-C Cys204-N-CA-C dihedral 1.1434 -0.1597 (-1.3031) 1.3967 (+0.2533)
Y: His148-HD1 - Asn146-O distance 0.1932 1.9428 (+1.7496) 0.1852 (-0.0080)
L: Ser202-C Thr203-N-CA-C dihedral 1.2976 -0.3990 (-1.6966) 0.9051 (-0.3925)
B: Tyr145-CE1-CZ-OH-HH dihedral 0.2929 -0.0397 (-0.3326) 1.4338 (+1.1409)
Z: His148-NE2 - Arg168-H distance 0.5942 0.5309 (-0.0633) -0.6175 (-1.2117)
O: Cys204-N-CA-C Ser205-N dihedral -0.7882 0.0022 (+0.7904) 1.1729 (+1.9611)
H: Asn146-C Cys147-N-CA-C dihedral -0.2089 1.7753 (+1.9842) -1.2444 (-1.0356)
G: Asn146-N-CA-C Cys147-N dihedral -0.3549 0.9624 (+1.3173) -0.3680 (-0.0131)
K: His148-N-CA-C Asn149-N dihedral 0.5064 -0.9881 (-1.4945) 0.3839 (-0.1225)
U: Ser205-H - Asn146-O distance -0.0962 1.5866 (+1.6828) -1.6472 (-1.5510)
P: Cys204-C Ser205-N-CA-C dihedral -1.2198 -0.2380 (+0.9818) 1.0242 (+2.2440)
F: Tyr145-C Asn146-N-CA-C dihedral -0.0614 -1.2434 (-1.1821) 0.6097 (+0.6710)
E: Tyr145-N-CA-C Asn146-N dihedral -0.5023 -0.7204 (-0.2181) 0.4345 (+0.9369)
A: Tyr145-CA-CB-CG-CD1 dihedral -0.1789 -0.1539 (+0.0250) -0.6791 (-0.5002)
T: His148-H - Thr203-O distance 0.8315 -0.4788 (-1.3103) -1.6067 (-2.4382)
J: Cys147-C His148-N-CA-C dihedral -0.5151 -0.8975 (-0.3824) -0.1818 (+0.3333)
Q: Ser205-N-CA-C Ala206-N dihedral -0.8675 -0.3283 (+0.5392) -0.8363 (+0.0312)
I: Cys147-N-CA-C His148-N dihedral -1.0921 -0.6858 (+0.4063) -0.2949 (+0.7972)
V: Cys204-O - Phe223-H distance -0.6971 -0.9708 (-0.2736) -0.5989 (+0.0982)
S: Glu222-N-CA-C Phe223-N dihedral -1.4845 -0.9437 (+0.5409) -0.6734 (+0.8111)
D: Asn144-C Tyr145-N-CA-C dihedral -1.3634 -0.9555 (+0.4079) -0.8011 (+0.5623)
R: Leu221-C Glu222-N-CA-C dihedral -1.6162 -1.2084 (+0.4078) -1.8733 (-0.2570)

Thr203

Feature (i.e., loading) analysis
Feature Reduced Oxidized Cu
L: Cys204-N-CA-C Ser205-N dihedral 1.5488 1.1432 (-0.4055) 1.8305 (+0.2817)
J: Thr203-N-CA-C Cys204-N dihedral 1.5747 1.5523 (-0.0224) 0.6628 (-0.9118)
I: Ser202-C Thr203-N-CA-C dihedral 1.0988 1.2846 (+0.1858) 0.3093 (-0.7895)
M: Cys204-C Ser205-N-CA-C dihedral -0.5252 1.3129 (+1.8381) 1.8077 (+2.3329)
K: Thr203-C Cys204-N-CA-C dihedral 1.0170 1.1256 (+0.1086) 0.4515 (-0.5655)
H: His148-N-CA-C Asn149-N dihedral 0.7216 -1.0488 (-1.7704) 0.6994 (-0.0222)
F: Cys147-N-CA-C His148-N dihedral 0.5892 0.2270 (-0.3622) -0.7826 (-1.3718)
G: Cys147-C His148-N-CA-C dihedral -0.4480 0.0395 (+0.4874) 0.1368 (+0.5847)
B: Tyr145-N-CA-C Asn146-N dihedral -0.0926 -0.1982 (-0.1056) 0.0175 (+0.1101)
C: Tyr145-C Asn146-N-CA-C dihedral -0.8355 0.0810 (+0.9165) 0.4363 (+1.2717)
P: Glu222-N-CA-C Phe223-N dihedral -1.4202 -0.3331 (+1.0871) 0.3249 (+1.7451)
D: Asn146-N-CA-C Cys147-N dihedral 0.4221 -0.7561 (-1.1782) -1.3280 (-1.7501)
E: Asn146-C Cys147-N-CA-C dihedral -0.6945 -0.3845 (+0.3100) -1.0017 (-0.3072)
N: Ser205-N-CA-C Ala206-N dihedral -0.7409 -1.0259 (-0.2850) -0.9214 (-0.1805)
O: Leu221-C Glu222-N-CA-C dihedral -0.3497 -1.4800 (-1.1303) -1.5643 (-1.2146)
A: Asn144-C Tyr145-N-CA-C dihedral -1.8656 -1.5395 (+0.3261) -1.0786 (+0.7870)

Summary

Proton wire

Glu222 to Ser205

TODO: introduce magnitude analysis

Feature (i.e., loading) analysis
Feature Reduced Oxidized Cu
Q: Thr203-N-CA-C Cys204-N dihedral 1.4689 1.4760 (+0.0071) 1.5160 (+0.0471)
F: Ser205-H - Asn146-O distance 1.7038 0.8605 (-0.8433) 1.3867 (-0.3172)
T: Cys204-C Ser205-N-CA-C dihedral 0.2688 1.9607 (+1.6919) 1.5744 (+1.3055)
P: Ser202-C Thr203-N-CA-C dihedral 1.1868 1.5257 (+0.3389) 1.0900 (-0.0968)
S: Cys204-N-CA-C Ser205-N dihedral -0.6017 2.0146 (+2.6163) 1.6001 (+2.2018)
R: Thr203-C Cys204-N-CA-C dihedral 0.7501 0.6525 (-0.0976) 1.0263 (+0.2762)
U: Ser205-N-CA-C Ala206-N dihedral -0.2225 0.3178 (+0.5403) 1.0236 (+1.2461)
L: Asn146-C Cys147-N-CA-C dihedral 1.1980 0.7682 (-0.4298) -1.0798 (-2.2778)
A: Tyr145-CA-CB-CG-CD1 dihedral 0.1481 -0.2981 (-0.4462) -0.3093 (-0.4574)
I: Tyr145-N-CA-C Asn146-N dihedral 0.1978 -0.3172 (-0.5150) -0.4237 (-0.6215)
C: Tyr145-HH - Thr64-OG1 distance -0.0716 -0.6777 (-0.6060) 0.0993 (+0.1710)
K: Asn146-N-CA-C Cys147-N dihedral 0.1793 -0.0452 (-0.2245) -0.9879 (-1.1672)
J: Tyr145-C Asn146-N-CA-C dihedral -0.0830 -0.8767 (-0.7937) -0.0879 (-0.0049)
G: Cys204-O - Phe223-H distance -1.3976 0.0188 (+1.4164) 0.2641 (+1.6617)
E: His148-H - Thr203-O distance 0.8368 -1.0964 (-1.9331) -0.9570 (-1.7937)
W: Glu222-N-CA-C Phe223-N dihedral -1.2294 -0.0058 (+1.2236) -0.0029 (+1.2265)
D: Cro66-OG1-CB1-CA1-C1 dihedral 1.3042 -1.1545 (-2.4587) -1.4821 (-2.7863)
O: His148-N-CA-C Asn149-N dihedral -0.6243 -1.0572 (-0.4330) 0.2885 (+0.9128)
B: Tyr145-CE1-CZ-OH-HH dihedral 0.1840 -0.9650 (-1.1490) -1.0035 (-1.1875)
N: Cys147-C His148-N-CA-C dihedral -1.7065 -0.3341 (+1.3724) -0.3028 (+1.4037)
M: Cys147-N-CA-C His148-N dihedral -0.4905 -1.1308 (-0.6403) -1.1226 (-0.6322)
V: Leu221-C Glu222-N-CA-C dihedral -1.4614 -0.7987 (+0.6628) -0.7664 (+0.6950)
H: Asn144-C Tyr145-N-CA-C dihedral -1.5382 -0.8375 (+0.7007) -1.3432 (+0.1950)

TODO: introduce feature correlation analysis.

Ser205 to water

Water to Cro66


  1. Hanson, G. T., Aggeler, R., Oglesbee, D., Cannon, M., Capaldi, R. A., Tsien, R. Y., & Remington, S. J. (2004). Investigating mitochondrial redox potential with redox-sensitive green fluorescent protein indicators. Journal of Biological Chemistry, 279(13), 13044-13053. DOI: 10.1074/jbc.M312846200