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<br><br> | <br><br> | ||
− | In choosing the best combination, we use <i>FoldX</i> option via <i>YASARA molecules viewer</i> | + | <h5>In choosing the best combination, we use <i>FoldX</i> option via <i>YASARA molecules viewer</i> |
to calculate the ∆G of each molecule, searching for the smallest free energy | to calculate the ∆G of each molecule, searching for the smallest free energy | ||
(regarding its stability in <i>vivo</i>). All those sequences are also submitted to | (regarding its stability in <i>vivo</i>). All those sequences are also submitted to | ||
<i>I-Tasser</i> server for projecting their 3D models qualitatively. The following | <i>I-Tasser</i> server for projecting their 3D models qualitatively. The following | ||
results would conclude that our <i>cytoplasmic</i> signalling combinations are | results would conclude that our <i>cytoplasmic</i> signalling combinations are | ||
− | CheY-eYFP and LuxB-CheA. | + | CheY-eYFP and LuxB-CheA. </h5> |
<br><br> | <br><br> | ||
Line 345: | Line 345: | ||
<br><br> | <br><br> | ||
− | Characterisation or purification of those proteins would promote the usage | + | <h5>Characterisation or purification of those proteins would promote the usage |
of <i>His-tag</i>; therefore, insertion of His-tag inside the sequence is essential. | of <i>His-tag</i>; therefore, insertion of His-tag inside the sequence is essential. | ||
To ensure the slightest change of tertiary structures of each protein, | To ensure the slightest change of tertiary structures of each protein, | ||
Line 352: | Line 352: | ||
We would insert <i>His-tag</i> sequence in either no available specific protein | We would insert <i>His-tag</i> sequence in either no available specific protein | ||
domain or the coiled secondary structure of protein to minimize any | domain or the coiled secondary structure of protein to minimize any | ||
− | interruptions. Here is our affitoxin data from <i>NetSurfP</i> server. | + | interruptions. Here is our affitoxin data from <i>NetSurfP</i> server.</h5> |
<br><br> | <br><br> | ||
Line 385: | Line 385: | ||
<br><br> | <br><br> | ||
− | Result from the <i>NetSurf server</i>, we choose C-terminus side, | + | <h5>Result from the <i>NetSurf server</i>, we choose C-terminus side, |
because it most likely turns/coils around (indicated by | because it most likely turns/coils around (indicated by | ||
has high number on the most right column is closest to 1), | has high number on the most right column is closest to 1), | ||
− | and it is freely exposed (indicated by most left column has E alphabet) | + | and it is freely exposed (indicated by most left column has E alphabet)</h5> |
<br><br> | <br><br> | ||
− | Performing structural similarity between original molecule and | + | <h5>Performing structural similarity between original molecule and |
the one inserted with <i>His-tag</i> sequence have been done by <i>MUSTANG</i> | the one inserted with <i>His-tag</i> sequence have been done by <i>MUSTANG</i> | ||
server that built in via <i>YASARA molecule viewer.<sup>5<sup></i> The output would be | server that built in via <i>YASARA molecule viewer.<sup>5<sup></i> The output would be | ||
distance calculation between interacting atoms called RMSD | distance calculation between interacting atoms called RMSD | ||
(Root-mean-square deviation). Following tables are summaries of the | (Root-mean-square deviation). Following tables are summaries of the | ||
− | molecular similarity analysis | + | molecular similarity analysis</h5> |
<br><br> | <br><br> | ||
Line 432: | Line 432: | ||
<br><br> | <br><br> | ||
− | From the data that described above, all the combinations are acceptable, | + | <h5>From the data that described above, all the combinations are acceptable, |
except LuxA, since its possible combination has high RMSD. The threshold | except LuxA, since its possible combination has high RMSD. The threshold | ||
is relative, but several literatures define the RMSD value of 2 as | is relative, but several literatures define the RMSD value of 2 as | ||
− | threshold for structure similarity.<sup>5,6,7</sup> | + | threshold for structure similarity.<sup>5,6,7</sup></h5> |
<br><br> | <br><br> | ||
− | To ensure that the chimeric protein functions as both diphtheria’s | + | <h5>To ensure that the chimeric protein functions as both diphtheria’s |
toxin receptor and Tar-mediated intracellular signaller, we chose | toxin receptor and Tar-mediated intracellular signaller, we chose | ||
specific site of HB-EGF and Tar protein selectively for functional | specific site of HB-EGF and Tar protein selectively for functional | ||
combination. The chimera was designed by replacing parts of extracellular | combination. The chimera was designed by replacing parts of extracellular | ||
− | domain of Tar receptor with binding domain of HB-EGF. | + | domain of Tar receptor with binding domain of HB-EGF.</h5> |
<br><br> | <br><br> | ||
− | In HB-EGF, the part that serves as binding domain for diphtheria exotoxin | + | <h5>In HB-EGF, the part that serves as binding domain for diphtheria exotoxin |
predominantly located in the extracellular environment. Therefore, | predominantly located in the extracellular environment. Therefore, | ||
the domain, expands between 20<sup>th</sup> – 160<sup>th</sup> amino acid, was selected from | the domain, expands between 20<sup>th</sup> – 160<sup>th</sup> amino acid, was selected from | ||
Line 451: | Line 451: | ||
of the protein (the 553<sup>rd</sup> amino acid).8-11 By those factors, our team also | of the protein (the 553<sup>rd</sup> amino acid).8-11 By those factors, our team also | ||
selected Tar domains involving the 1st – 33<sup>rd</sup> and 191<sup>st</sup> – | selected Tar domains involving the 1st – 33<sup>rd</sup> and 191<sup>st</sup> – | ||
− | 553<sup>rd</sup> amino acid as part of chimeric protein. | + | 553<sup>rd</sup> amino acid as part of chimeric protein.</h5> |
<br><br> | <br><br> | ||
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about the chimera protein is that it should begin its orientation of | about the chimera protein is that it should begin its orientation of | ||
C-terminus in cytoplasm, then continued to fold into transmembrane and | C-terminus in cytoplasm, then continued to fold into transmembrane and | ||
− | extracellular sites, as well as re-folding towards cytoplasm. | + | extracellular sites, as well as re-folding towards cytoplasm.<h5> |
<!-------PAGE 3----------PAGE 3----------PAGE 3----------PAGE 3-------> | <!-------PAGE 3----------PAGE 3----------PAGE 3----------PAGE 3-------> | ||
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<h5>From the results, it could be concluded that the protein was oriented | <h5>From the results, it could be concluded that the protein was oriented | ||
as expected in the hypothesis. Therefore, the usage of chimera protein is | as expected in the hypothesis. Therefore, the usage of chimera protein is | ||
− | predicted to be functional anatomically. | + | predicted to be functional anatomically. </h5> |
<br> | <br> | ||
Line 512: | Line 512: | ||
<br> | <br> | ||
− | After deciding sequence combination of amino acids in modelled chimera | + | <h5>After deciding sequence combination of amino acids in modelled chimera |
HB-EGF/Tar protein, analyzing the interaction of both fusion protein and | HB-EGF/Tar protein, analyzing the interaction of both fusion protein and | ||
diphtheria exotoxin is extremely important to ensure functional | diphtheria exotoxin is extremely important to ensure functional | ||
Line 519: | Line 519: | ||
‘environment’ energy (termed by E parameter; calculated by formula below) | ‘environment’ energy (termed by E parameter; calculated by formula below) | ||
being lowered down. In this part, our team sent the respective sequence to | being lowered down. In this part, our team sent the respective sequence to | ||
− | ClusPro website for further analyzing.15 | + | ClusPro website for further analyzing.<sup>15</sup></h5> |
<br> | <br> | ||
Line 564: | Line 564: | ||
<br> | <br> | ||
− | The result of interaction modelling is quantified as energy score based on | + | <h5>The result of interaction modelling is quantified as energy score based on |
the formula above. Referring to figure 4 and 5, we might expect that the | the formula above. Referring to figure 4 and 5, we might expect that the | ||
affitoxin (cyan) would bind to both native and chimeric HB-EGF receptor that | affitoxin (cyan) would bind to both native and chimeric HB-EGF receptor that | ||
Line 571: | Line 571: | ||
than that of to HB-EGF natural receptor-Affitoxin (Table 4). This means | than that of to HB-EGF natural receptor-Affitoxin (Table 4). This means | ||
that the chimeric receptor could bind towards affitoxin as good | that the chimeric receptor could bind towards affitoxin as good | ||
− | (or even better) than the original one. | + | (or even better) than the original one. </h5> |
<br><br> | <br><br> | ||
− | Beside the cell’s ability to detect toxin, our team also need to ensure | + | <h5>Beside the cell’s ability to detect toxin, our team also need to ensure |
the signaling machine works well. Our team also modelled the interaction | the signaling machine works well. Our team also modelled the interaction | ||
between LuxA dan LuxB (that we fused with CheA). From figure 6 and 7, | between LuxA dan LuxB (that we fused with CheA). From figure 6 and 7, | ||
we might expect that both proteins are still able to interact normally | we might expect that both proteins are still able to interact normally | ||
− | after combining them with FRET unit (CheA or CheY protein). | + | after combining them with FRET unit (CheA or CheY protein). </h5> |
<!-------PAGE 5----------PAGE 5----------PAGE 5----------PAGE 5-------> | <!-------PAGE 5----------PAGE 5----------PAGE 5----------PAGE 5-------> |
Revision as of 05:43, 11 October 2018
INTRODUCTION
Our first steps in modelling the subsequent parts of Finding Diphthy iGEM-UI 2018 in silico is by
constructing all 3D models via I-Tasser server.1,2,3 The extension of the product file is .pdb, that
could be read by the server. The chimera molecules which we need to predict their modelling are HBEGF-TAR
(Heparin Binding Epidermal Growth Factor- TAR chemotaxis), CheA signalling protein, Che-Y signalling protein,
LuxAB dimerized luciferase subunits, and eYFP (enhanced yellow fluorescent protein), as well as Affitoxin
(modified diphtheria exotoxin). Since CheA and CheY are required to be linked with LuxB or eYFP,
we have cited one of the universal linker, that is ‘GGGSGGGGSGGGGSG’ peptides, according to Sun S et al.
Our signalling part of the project is referred these sequences of all chimera combinations.
- LuxB-CheY
- LuxB-CheA
- CheY-eYFP
- CheA-eYFP
In choosing the best combination, we use FoldX option via YASARA molecules viewer
to calculate the ∆G of each molecule, searching for the smallest free energy
(regarding its stability in vivo). All those sequences are also submitted to
I-Tasser server for projecting their 3D models qualitatively. The following
results would conclude that our cytoplasmic signalling combinations are
CheY-eYFP and LuxB-CheA.
Table 1. Specific Gibbs Energy within Each Protein Combination.
Combination
∆G
LuxB-CheY
58.15 kcal/mol
LuxB-CheA
1355.46 kcal/mol
CheY-eYFP
36.48 kcal/mol
CheA-eYFP
36.48 kcal/mol
Characterisation or purification of those proteins would promote the usage
of His-tag; therefore, insertion of His-tag inside the sequence is essential.
To ensure the slightest change of tertiary structures of each protein,
we would need to find out the secondary structure and surface accesibility
via NetSurfP ver. 1.1 analyser (http://www.cbs.dtu.dk/services/NetSurfP/).
We would insert His-tag sequence in either no available specific protein
domain or the coiled secondary structure of protein to minimize any
interruptions. Here is our affitoxin data from NetSurfP server.
Table 2. Coiling probability of Affitoxin’s specific domain.
Class assignment
Amino acid
Amino acid
number
Probability
for Coil
B
I
54
0.223
E
K
55
0.669
E
S
56
0.994
Result from the NetSurf server, we choose C-terminus side,
because it most likely turns/coils around (indicated by
has high number on the most right column is closest to 1),
and it is freely exposed (indicated by most left column has E alphabet)
Performing structural similarity between original molecule and
the one inserted with His-tag sequence have been done by MUSTANG
server that built in via YASARA molecule viewer.5 The output would be
distance calculation between interacting atoms called RMSD
(Root-mean-square deviation). Following tables are summaries of the
molecular similarity analysis
Table 1. RMSD Calculation within Several Protein Linked with His-tag.
Similarities between
RMSD
LuxA with LuxA + His
2.203 Å
LuxC with LuxC + His
0.985 Å
LuxD with LuxD + His
0.1777 Å
LuxE with LuxE + His
0.800
CheY-eYFP with CheY-eYFP+his
0.108 Å
eYFP with eYFP + His
0.315 Å
CheA with CheA + His
0.134 Å
From the data that described above, all the combinations are acceptable,
except LuxA, since its possible combination has high RMSD. The threshold
is relative, but several literatures define the RMSD value of 2 as
threshold for structure similarity.5,6,7
To ensure that the chimeric protein functions as both diphtheria’s
toxin receptor and Tar-mediated intracellular signaller, we chose
specific site of HB-EGF and Tar protein selectively for functional
combination. The chimera was designed by replacing parts of extracellular
domain of Tar receptor with binding domain of HB-EGF.
In HB-EGF, the part that serves as binding domain for diphtheria exotoxin
predominantly located in the extracellular environment. Therefore,
the domain, expands between 20th – 160th amino acid, was selected from
natural HB-EGF protein. On the other hand, the Tar domain that are
functions to establish intracellular chemotactic signalling includes
NdeI cutting-site (around 257th amino acid) until the utmost C-terminal
of the protein (the 553rd amino acid).8-11 By those factors, our team also
selected Tar domains involving the 1st – 33rd and 191st –
553rd amino acid as part of chimeric protein.
Figure 1. The selected segment of Tar protein. The functional
intracellular domain of Tar is shown as yellow box, blue box is
transmembrane domain and orange box is periplasmic domain. Selected Tar
domain expands from 1st -33rd amino acids and 191st -553rd amino acids.
Modification of binding domain is located between 33rd – 191st amino acids
Our team have predicted the HB-EGF/Tar protein orientation in the
Escherichia coli membrane. For this purpose, server TMHMM and OPM Membrane,
are utilized to predict protein orientation.12,13 Conceptual hypothesis
about the chimera protein is that it should begin its orientation of
C-terminus in cytoplasm, then continued to fold into transmembrane and
extracellular sites, as well as re-folding towards cytoplasm.
Figure 2. The graph above explains the result of HB-EGF/Tar
orientation, which began from C-terminus (left) to N-terminus (right).12
Y-axis pictured the possibility of nth amino acid on protein located somewhere
between transmembrane (red part), intracellular (blue line), and
extracellular (pink line). There is also a diagram located above the graph
that represent the most possible location of each domain (with elongated box).
From the results, it could be concluded that the protein was oriented
as expected in the hypothesis. Therefore, the usage of chimera protein is
predicted to be functional anatomically.
Figure 3.Molecular comparation of HB-EGF native protein (left)
with the HB-EGF/Tar fusion (right).13,14 The pink-coloured
domain is intracellularly located as the N-terminus, yellow-coloured
domain for the transmembrane one. Then, purple-coloured could be a sign
as the extracellular domain, finally folding into transmembrane and back
to cytoplasm with orange-coloured and cyan-coloured domain respectively.
After deciding sequence combination of amino acids in modelled chimera
HB-EGF/Tar protein, analyzing the interaction of both fusion protein and
diphtheria exotoxin is extremely important to ensure functional
ligand-receptor system. The basic concept of interaction modelling is
that the protein will be bound to each other well if it causes the
‘environment’ energy (termed by E parameter; calculated by formula below)
being lowered down. In this part, our team sent the respective sequence to
ClusPro website for further analyzing.15
E = 0.4Erep + -0.40Eatt + 600Eelec + 1.00EDARS
Note: Erep and Eattr denote as repulsive and attractive contributions
to the van der Waals interaction energy. Additionally, Eelec means an
electrostatic energy that occur during both protein interaction. EDARS
is a pairwise structure-based potential constructed by the Decoys of
the Reference State (DARS) approach, and it primarily represents
desolvation contributions, i.e., the free energy change due to the
removal of the water molecules from the interface.15
Table 4. Comparation of E parameter of native and chimera protein of HB-EGF interacted with affitoxin.
HB-EGF
Protein
Median Energy (kcal/mol)
Lowest Energy (kcal/mol)
Native
-944.3
-994.3
Chimera
858.2
934.4
Figure 5.HB-EGF natural receptor and Affitoxin 3D interaction modelling result.
The result of interaction modelling is quantified as energy score based on
the formula above. Referring to figure 4 and 5, we might expect that the
affitoxin (cyan) would bind to both native and chimeric HB-EGF receptor that
are both located in the extracellular (green). It is indicated by higher
energy score of interaction between chimeric HB-EGF/Tar receptor-Affitoxin
than that of to HB-EGF natural receptor-Affitoxin (Table 4). This means
that the chimeric receptor could bind towards affitoxin as good
(or even better) than the original one.
Beside the cell’s ability to detect toxin, our team also need to ensure
the signaling machine works well. Our team also modelled the interaction
between LuxA dan LuxB (that we fused with CheA). From figure 6 and 7,
we might expect that both proteins are still able to interact normally
after combining them with FRET unit (CheA or CheY protein).
Table 5. Comparation of E parameter of native and His-tagged protein of LuxB-CheA.
LuxAB
Median Energy (kcal/mol)
Lowest Energy (kcal/mol)
Native
-1515.4.3
-1553.2
Chimera
-1220.9
-1290.7
Figure 6.LuxA and LuxB-CheA (LuxAB-CheA) 3D interaction modelling result.
Figure 7..LuxA and LuxB 3D interaction modelling result.
Reference :
- J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang. The I-TASSER Suite: Protein structure and function prediction. Nature Methods, 12: 7-8 (2015)
- A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738 (2010)
- Y Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, vol 9, 40 (2008)
- Sun, S., Yang, X., Wang, Y., Shen, X., 2016. In Vivo Analysis of Protein–Protein Interactions with Bioluminescence Resonance Energy Transfer (BRET): Progress and Prospects. International Journal of Molecular Sciences 17, 1704. https://doi.org/10.3390/ijms17101704
- MUSTANG: A multiple structural alignment algorithm Konagurthu AS, Whisstock JC, Stuckey PJ, Lesk AM (2006) Proteins 64,559-574
- Bordogna, A., Pandini, A., Bonati, L., 2010. Predicting the accuracy of protein-ligand docking on homology models. Journal of Computational Chemistry 32, 81–98. https://doi.org/10.1002/jcc.21601
- Carugo, O., 2003. How root-mean-square distance (r.m.s.d.) values depend on the resolution of protein structures that are compared. Journal of Applied Crystallography 36, 125–128. https://doi.org/10.1107/s0021889802020502
- Kanchan, K., Linder, J., Winkler, K., Hantke, K., Schultz, A. and Schultz, J. (2009). Transmembrane Signaling in Chimeras of the Escherichia coli Aspartate and Serine Chemotaxis Receptors and Bacterial Class III Adenylyl Cyclases. Journal of Biological Chemistry, 285(3), pp.2090-2099.
- Ward, S., Delgado, A., Gunsalus, R. and Manson, M. (2002). A NarX-Tar chimera mediates repellent chemotaxis to nitrate and nitrite. Molecular Microbiology, 44(3), pp.709-719.
- Melchers, L. S., Regensburg-Tuïnk, T. J., Bourret, R. B., Sedee, N. J., Schilperoort, R. A. and Hooykaas, P. J. (1989). Membrane topology and functional analysis of the sensory protein VirA of Agrobacterium tumefaciens. The EMBO Journal, 8(7), pp.1919-1925.
- Weerasuriya, S., Schneider, B. M. and Manson, M. D. (1998). Chimeric Chemoreceptors in Escherichia coli: Signaling Properties of Tar-Tap and Tap-Tar Hybrids. Journal of Bacteriology, 180(4), pp.914-920.
- Cbs.dtu.dk. (2018). TMHMM Server, v. 2.0. [online] Available at: http://www.cbs.dtu.dk/services/TMHMM/ [Accessed 22 Jul. 2018].
- Lomize M.A., Pogozheva I,D, Joo H., Mosberg H.I., Lomize A.L. OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Res., 2012, 40(Database issue):D370-6
- Kelley LA et al. (2015). The Phyre2 web portal for protein modeling, prediction and analysis. Nature Protocols 10, pp.845-858
- Kozakov D, Hall DR, Xia B, Porter KA, Padhorny D, Yueh C, Beglov D, Vajda S. The ClusPro web server for protein-protein docking. Nature Protocols.2017 Feb;12(2):255-278 ; pdf
- Kozakov D, Beglov D, Bohnuud T, Mottarella S, Xia B, Hall DR, Vajda, S. How good is automated protein docking? Proteins: Structure, Function, and Bioinformatics, 2013 Aug ; pdf
- Kozakov D, Brenke R, Comeau SR, Vajda S. PIPER: An FFT-based protein docking program with pairwise potentials. Proteins. 2006 Aug 24; pdf
- Comeau SR, Gatchell DW, Vajda S, Camacho CJ. ClusPro: an automated docking and discrimination method for the prediction of protein complexes.Bioinformatics. 2004 Jan 1; pdf
- Comeau SR, Gatchell DW, Vajda S, Camacho CJ. ClusPro: a fully automated algorithm for protein-protein docking Nucleic Acids Research. 2004 Jul 1; pdf
- Högbom, M., Eklund, M., Nygren, P. Å., & Nordlund, P. (2003). Structural basis for recognition by an in vitro evolved affibody. Proceedings of the National Academy of Sciences, 100(6), 3191-3196.
- 2015.igem.org. (2018). Team:Stockholm/Description - 2015.igem.org. [online] Available at: https://2015.igem.org/Team:Stockholm/Description [Accessed 22 Jul. 2018].
Table 1. Specific Gibbs Energy within Each Protein Combination.
Combination | ∆G |
---|---|
LuxB-CheY | 58.15 kcal/mol |
LuxB-CheA | 1355.46 kcal/mol |
CheY-eYFP | 36.48 kcal/mol |
CheA-eYFP | 36.48 kcal/mol |
Table 2. Coiling probability of Affitoxin’s specific domain.
Class assignment | Amino acid | Amino acid |
Probability |
---|---|---|---|
B | I | 54 |
0.223 |
E | K | 55 |
0.669 |
E | S | 56 |
0.994 |
Table 1. RMSD Calculation within Several Protein Linked with His-tag.
Similarities between |
RMSD |
---|---|
LuxA with LuxA + His | 2.203 Å |
LuxC with LuxC + His | 0.985 Å |
LuxD with LuxD + His | 0.1777 Å |
LuxE with LuxE + His | 0.800 |
CheY-eYFP with CheY-eYFP+his | 0.108 Å |
eYFP with eYFP + His | 0.315 Å |
CheA with CheA + His | 0.134 Å |
Figure 2. The graph above explains the result of HB-EGF/Tar
orientation, which began from C-terminus (left) to N-terminus (right).12
Y-axis pictured the possibility of nth amino acid on protein located somewhere
between transmembrane (red part), intracellular (blue line), and
extracellular (pink line). There is also a diagram located above the graph
that represent the most possible location of each domain (with elongated box).
From the results, it could be concluded that the protein was oriented
as expected in the hypothesis. Therefore, the usage of chimera protein is
predicted to be functional anatomically.
Figure 3.Molecular comparation of HB-EGF native protein (left)
with the HB-EGF/Tar fusion (right).13,14 The pink-coloured
domain is intracellularly located as the N-terminus, yellow-coloured
domain for the transmembrane one. Then, purple-coloured could be a sign
as the extracellular domain, finally folding into transmembrane and back
to cytoplasm with orange-coloured and cyan-coloured domain respectively.
After deciding sequence combination of amino acids in modelled chimera
HB-EGF/Tar protein, analyzing the interaction of both fusion protein and
diphtheria exotoxin is extremely important to ensure functional
ligand-receptor system. The basic concept of interaction modelling is
that the protein will be bound to each other well if it causes the
‘environment’ energy (termed by E parameter; calculated by formula below)
being lowered down. In this part, our team sent the respective sequence to
ClusPro website for further analyzing.15
E = 0.4Erep + -0.40Eatt + 600Eelec + 1.00EDARS
Note: Erep and Eattr denote as repulsive and attractive contributions
to the van der Waals interaction energy. Additionally, Eelec means an
electrostatic energy that occur during both protein interaction. EDARS
is a pairwise structure-based potential constructed by the Decoys of
the Reference State (DARS) approach, and it primarily represents
desolvation contributions, i.e., the free energy change due to the
removal of the water molecules from the interface.15
Table 4. Comparation of E parameter of native and chimera protein of HB-EGF interacted with affitoxin.
HB-EGF
Protein
Median Energy (kcal/mol)
Lowest Energy (kcal/mol)
Native
-944.3
-994.3
Chimera
858.2
934.4
Figure 5.HB-EGF natural receptor and Affitoxin 3D interaction modelling result.
The result of interaction modelling is quantified as energy score based on
the formula above. Referring to figure 4 and 5, we might expect that the
affitoxin (cyan) would bind to both native and chimeric HB-EGF receptor that
are both located in the extracellular (green). It is indicated by higher
energy score of interaction between chimeric HB-EGF/Tar receptor-Affitoxin
than that of to HB-EGF natural receptor-Affitoxin (Table 4). This means
that the chimeric receptor could bind towards affitoxin as good
(or even better) than the original one.
Beside the cell’s ability to detect toxin, our team also need to ensure
the signaling machine works well. Our team also modelled the interaction
between LuxA dan LuxB (that we fused with CheA). From figure 6 and 7,
we might expect that both proteins are still able to interact normally
after combining them with FRET unit (CheA or CheY protein).
Table 5. Comparation of E parameter of native and His-tagged protein of LuxB-CheA.
LuxAB
Median Energy (kcal/mol)
Lowest Energy (kcal/mol)
Native
-1515.4.3
-1553.2
Chimera
-1220.9
-1290.7
Figure 6.LuxA and LuxB-CheA (LuxAB-CheA) 3D interaction modelling result.
Figure 7..LuxA and LuxB 3D interaction modelling result.
Reference :
- J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang. The I-TASSER Suite: Protein structure and function prediction. Nature Methods, 12: 7-8 (2015)
- A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738 (2010)
- Y Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, vol 9, 40 (2008)
- Sun, S., Yang, X., Wang, Y., Shen, X., 2016. In Vivo Analysis of Protein–Protein Interactions with Bioluminescence Resonance Energy Transfer (BRET): Progress and Prospects. International Journal of Molecular Sciences 17, 1704. https://doi.org/10.3390/ijms17101704
- MUSTANG: A multiple structural alignment algorithm Konagurthu AS, Whisstock JC, Stuckey PJ, Lesk AM (2006) Proteins 64,559-574
- Bordogna, A., Pandini, A., Bonati, L., 2010. Predicting the accuracy of protein-ligand docking on homology models. Journal of Computational Chemistry 32, 81–98. https://doi.org/10.1002/jcc.21601
- Carugo, O., 2003. How root-mean-square distance (r.m.s.d.) values depend on the resolution of protein structures that are compared. Journal of Applied Crystallography 36, 125–128. https://doi.org/10.1107/s0021889802020502
- Kanchan, K., Linder, J., Winkler, K., Hantke, K., Schultz, A. and Schultz, J. (2009). Transmembrane Signaling in Chimeras of the Escherichia coli Aspartate and Serine Chemotaxis Receptors and Bacterial Class III Adenylyl Cyclases. Journal of Biological Chemistry, 285(3), pp.2090-2099.
- Ward, S., Delgado, A., Gunsalus, R. and Manson, M. (2002). A NarX-Tar chimera mediates repellent chemotaxis to nitrate and nitrite. Molecular Microbiology, 44(3), pp.709-719.
- Melchers, L. S., Regensburg-Tuïnk, T. J., Bourret, R. B., Sedee, N. J., Schilperoort, R. A. and Hooykaas, P. J. (1989). Membrane topology and functional analysis of the sensory protein VirA of Agrobacterium tumefaciens. The EMBO Journal, 8(7), pp.1919-1925.
- Weerasuriya, S., Schneider, B. M. and Manson, M. D. (1998). Chimeric Chemoreceptors in Escherichia coli: Signaling Properties of Tar-Tap and Tap-Tar Hybrids. Journal of Bacteriology, 180(4), pp.914-920.
- Cbs.dtu.dk. (2018). TMHMM Server, v. 2.0. [online] Available at: http://www.cbs.dtu.dk/services/TMHMM/ [Accessed 22 Jul. 2018].
- Lomize M.A., Pogozheva I,D, Joo H., Mosberg H.I., Lomize A.L. OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Res., 2012, 40(Database issue):D370-6
- Kelley LA et al. (2015). The Phyre2 web portal for protein modeling, prediction and analysis. Nature Protocols 10, pp.845-858
- Kozakov D, Hall DR, Xia B, Porter KA, Padhorny D, Yueh C, Beglov D, Vajda S. The ClusPro web server for protein-protein docking. Nature Protocols.2017 Feb;12(2):255-278 ; pdf
- Kozakov D, Beglov D, Bohnuud T, Mottarella S, Xia B, Hall DR, Vajda, S. How good is automated protein docking? Proteins: Structure, Function, and Bioinformatics, 2013 Aug ; pdf
- Kozakov D, Brenke R, Comeau SR, Vajda S. PIPER: An FFT-based protein docking program with pairwise potentials. Proteins. 2006 Aug 24; pdf
- Comeau SR, Gatchell DW, Vajda S, Camacho CJ. ClusPro: an automated docking and discrimination method for the prediction of protein complexes.Bioinformatics. 2004 Jan 1; pdf
- Comeau SR, Gatchell DW, Vajda S, Camacho CJ. ClusPro: a fully automated algorithm for protein-protein docking Nucleic Acids Research. 2004 Jul 1; pdf
- Högbom, M., Eklund, M., Nygren, P. Å., & Nordlund, P. (2003). Structural basis for recognition by an in vitro evolved affibody. Proceedings of the National Academy of Sciences, 100(6), 3191-3196.
- 2015.igem.org. (2018). Team:Stockholm/Description - 2015.igem.org. [online] Available at: https://2015.igem.org/Team:Stockholm/Description [Accessed 22 Jul. 2018].
E = 0.4Erep + -0.40Eatt + 600Eelec + 1.00EDARS
Table 4. Comparation of E parameter of native and chimera protein of HB-EGF interacted with affitoxin.
HB-EGF
Protein
Median Energy (kcal/mol)
Lowest Energy (kcal/mol)
Native
-944.3
-994.3
Chimera
858.2
934.4
Figure 5.HB-EGF natural receptor and Affitoxin 3D interaction modelling result.
The result of interaction modelling is quantified as energy score based on
the formula above. Referring to figure 4 and 5, we might expect that the
affitoxin (cyan) would bind to both native and chimeric HB-EGF receptor that
are both located in the extracellular (green). It is indicated by higher
energy score of interaction between chimeric HB-EGF/Tar receptor-Affitoxin
than that of to HB-EGF natural receptor-Affitoxin (Table 4). This means
that the chimeric receptor could bind towards affitoxin as good
(or even better) than the original one.
Beside the cell’s ability to detect toxin, our team also need to ensure
the signaling machine works well. Our team also modelled the interaction
between LuxA dan LuxB (that we fused with CheA). From figure 6 and 7,
we might expect that both proteins are still able to interact normally
after combining them with FRET unit (CheA or CheY protein).
Table 5. Comparation of E parameter of native and His-tagged protein of LuxB-CheA.
LuxAB
Median Energy (kcal/mol)
Lowest Energy (kcal/mol)
Native
-1515.4.3
-1553.2
Chimera
-1220.9
-1290.7
Figure 6.LuxA and LuxB-CheA (LuxAB-CheA) 3D interaction modelling result.
Figure 7..LuxA and LuxB 3D interaction modelling result.
Reference :
- J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang. The I-TASSER Suite: Protein structure and function prediction. Nature Methods, 12: 7-8 (2015)
- A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738 (2010)
- Y Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, vol 9, 40 (2008)
- Sun, S., Yang, X., Wang, Y., Shen, X., 2016. In Vivo Analysis of Protein–Protein Interactions with Bioluminescence Resonance Energy Transfer (BRET): Progress and Prospects. International Journal of Molecular Sciences 17, 1704. https://doi.org/10.3390/ijms17101704
- MUSTANG: A multiple structural alignment algorithm Konagurthu AS, Whisstock JC, Stuckey PJ, Lesk AM (2006) Proteins 64,559-574
- Bordogna, A., Pandini, A., Bonati, L., 2010. Predicting the accuracy of protein-ligand docking on homology models. Journal of Computational Chemistry 32, 81–98. https://doi.org/10.1002/jcc.21601
- Carugo, O., 2003. How root-mean-square distance (r.m.s.d.) values depend on the resolution of protein structures that are compared. Journal of Applied Crystallography 36, 125–128. https://doi.org/10.1107/s0021889802020502
- Kanchan, K., Linder, J., Winkler, K., Hantke, K., Schultz, A. and Schultz, J. (2009). Transmembrane Signaling in Chimeras of the Escherichia coli Aspartate and Serine Chemotaxis Receptors and Bacterial Class III Adenylyl Cyclases. Journal of Biological Chemistry, 285(3), pp.2090-2099.
- Ward, S., Delgado, A., Gunsalus, R. and Manson, M. (2002). A NarX-Tar chimera mediates repellent chemotaxis to nitrate and nitrite. Molecular Microbiology, 44(3), pp.709-719.
- Melchers, L. S., Regensburg-Tuïnk, T. J., Bourret, R. B., Sedee, N. J., Schilperoort, R. A. and Hooykaas, P. J. (1989). Membrane topology and functional analysis of the sensory protein VirA of Agrobacterium tumefaciens. The EMBO Journal, 8(7), pp.1919-1925.
- Weerasuriya, S., Schneider, B. M. and Manson, M. D. (1998). Chimeric Chemoreceptors in Escherichia coli: Signaling Properties of Tar-Tap and Tap-Tar Hybrids. Journal of Bacteriology, 180(4), pp.914-920.
- Cbs.dtu.dk. (2018). TMHMM Server, v. 2.0. [online] Available at: http://www.cbs.dtu.dk/services/TMHMM/ [Accessed 22 Jul. 2018].
- Lomize M.A., Pogozheva I,D, Joo H., Mosberg H.I., Lomize A.L. OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Res., 2012, 40(Database issue):D370-6
- Kelley LA et al. (2015). The Phyre2 web portal for protein modeling, prediction and analysis. Nature Protocols 10, pp.845-858
- Kozakov D, Hall DR, Xia B, Porter KA, Padhorny D, Yueh C, Beglov D, Vajda S. The ClusPro web server for protein-protein docking. Nature Protocols.2017 Feb;12(2):255-278 ; pdf
- Kozakov D, Beglov D, Bohnuud T, Mottarella S, Xia B, Hall DR, Vajda, S. How good is automated protein docking? Proteins: Structure, Function, and Bioinformatics, 2013 Aug ; pdf
- Kozakov D, Brenke R, Comeau SR, Vajda S. PIPER: An FFT-based protein docking program with pairwise potentials. Proteins. 2006 Aug 24; pdf
- Comeau SR, Gatchell DW, Vajda S, Camacho CJ. ClusPro: an automated docking and discrimination method for the prediction of protein complexes.Bioinformatics. 2004 Jan 1; pdf
- Comeau SR, Gatchell DW, Vajda S, Camacho CJ. ClusPro: a fully automated algorithm for protein-protein docking Nucleic Acids Research. 2004 Jul 1; pdf
- Högbom, M., Eklund, M., Nygren, P. Å., & Nordlund, P. (2003). Structural basis for recognition by an in vitro evolved affibody. Proceedings of the National Academy of Sciences, 100(6), 3191-3196.
- 2015.igem.org. (2018). Team:Stockholm/Description - 2015.igem.org. [online] Available at: https://2015.igem.org/Team:Stockholm/Description [Accessed 22 Jul. 2018].
Table 4. Comparation of E parameter of native and chimera protein of HB-EGF interacted with affitoxin.
HB-EGF |
Median Energy (kcal/mol) |
Lowest Energy (kcal/mol) |
---|---|---|
Native | -944.3 |
-994.3 |
Chimera | 858.2 |
934.4 |
Table 5. Comparation of E parameter of native and His-tagged protein of LuxB-CheA.
LuxAB |
Median Energy (kcal/mol) |
Lowest Energy (kcal/mol) |
---|---|---|
Native | -1515.4.3 |
-1553.2 |
Chimera | -1220.9 |
-1290.7 |
- J Yang, R Yan, A Roy, D Xu, J Poisson, Y Zhang. The I-TASSER Suite: Protein structure and function prediction. Nature Methods, 12: 7-8 (2015)
- A Roy, A Kucukural, Y Zhang. I-TASSER: a unified platform for automated protein structure and function prediction. Nature Protocols, 5: 725-738 (2010)
- Y Zhang. I-TASSER server for protein 3D structure prediction. BMC Bioinformatics, vol 9, 40 (2008)
- Sun, S., Yang, X., Wang, Y., Shen, X., 2016. In Vivo Analysis of Protein–Protein Interactions with Bioluminescence Resonance Energy Transfer (BRET): Progress and Prospects. International Journal of Molecular Sciences 17, 1704. https://doi.org/10.3390/ijms17101704
- MUSTANG: A multiple structural alignment algorithm Konagurthu AS, Whisstock JC, Stuckey PJ, Lesk AM (2006) Proteins 64,559-574
- Bordogna, A., Pandini, A., Bonati, L., 2010. Predicting the accuracy of protein-ligand docking on homology models. Journal of Computational Chemistry 32, 81–98. https://doi.org/10.1002/jcc.21601
- Carugo, O., 2003. How root-mean-square distance (r.m.s.d.) values depend on the resolution of protein structures that are compared. Journal of Applied Crystallography 36, 125–128. https://doi.org/10.1107/s0021889802020502
- Kanchan, K., Linder, J., Winkler, K., Hantke, K., Schultz, A. and Schultz, J. (2009). Transmembrane Signaling in Chimeras of the Escherichia coli Aspartate and Serine Chemotaxis Receptors and Bacterial Class III Adenylyl Cyclases. Journal of Biological Chemistry, 285(3), pp.2090-2099.
- Ward, S., Delgado, A., Gunsalus, R. and Manson, M. (2002). A NarX-Tar chimera mediates repellent chemotaxis to nitrate and nitrite. Molecular Microbiology, 44(3), pp.709-719.
- Melchers, L. S., Regensburg-Tuïnk, T. J., Bourret, R. B., Sedee, N. J., Schilperoort, R. A. and Hooykaas, P. J. (1989). Membrane topology and functional analysis of the sensory protein VirA of Agrobacterium tumefaciens. The EMBO Journal, 8(7), pp.1919-1925.
- Weerasuriya, S., Schneider, B. M. and Manson, M. D. (1998). Chimeric Chemoreceptors in Escherichia coli: Signaling Properties of Tar-Tap and Tap-Tar Hybrids. Journal of Bacteriology, 180(4), pp.914-920.
- Cbs.dtu.dk. (2018). TMHMM Server, v. 2.0. [online] Available at: http://www.cbs.dtu.dk/services/TMHMM/ [Accessed 22 Jul. 2018].
- Lomize M.A., Pogozheva I,D, Joo H., Mosberg H.I., Lomize A.L. OPM database and PPM web server: resources for positioning of proteins in membranes. Nucleic Acids Res., 2012, 40(Database issue):D370-6
- Kelley LA et al. (2015). The Phyre2 web portal for protein modeling, prediction and analysis. Nature Protocols 10, pp.845-858
- Kozakov D, Hall DR, Xia B, Porter KA, Padhorny D, Yueh C, Beglov D, Vajda S. The ClusPro web server for protein-protein docking. Nature Protocols.2017 Feb;12(2):255-278 ; pdf
- Kozakov D, Beglov D, Bohnuud T, Mottarella S, Xia B, Hall DR, Vajda, S. How good is automated protein docking? Proteins: Structure, Function, and Bioinformatics, 2013 Aug ; pdf
- Kozakov D, Brenke R, Comeau SR, Vajda S. PIPER: An FFT-based protein docking program with pairwise potentials. Proteins. 2006 Aug 24; pdf
- Comeau SR, Gatchell DW, Vajda S, Camacho CJ. ClusPro: an automated docking and discrimination method for the prediction of protein complexes.Bioinformatics. 2004 Jan 1; pdf
- Comeau SR, Gatchell DW, Vajda S, Camacho CJ. ClusPro: a fully automated algorithm for protein-protein docking Nucleic Acids Research. 2004 Jul 1; pdf
- Högbom, M., Eklund, M., Nygren, P. Å., & Nordlund, P. (2003). Structural basis for recognition by an in vitro evolved affibody. Proceedings of the National Academy of Sciences, 100(6), 3191-3196.
- 2015.igem.org. (2018). Team:Stockholm/Description - 2015.igem.org. [online] Available at: https://2015.igem.org/Team:Stockholm/Description [Accessed 22 Jul. 2018].