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<html lang="en"><head><meta charset="utf-8"/><meta content="width=device-width,initial-scale=1" name="viewport"/><title>Model | UIUCiGEM</title><script src="https://2020.igem.org/common/MathJax-2.5-latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script><link href="https://2021.igem.org/Template:UIUC_Illinois/css/contentCSS?action=raw&amp;ctype=text/css" rel="stylesheet"/></head><body><nav class="navbar navbar-expand-xl fixed-top"><div class="container d-flex justify-content-between"><a class="navbar-brand" href="https://2021.igem.org/Team:UIUC_Illinois"><i class="navbar-logo"></i></a><button aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation" class="navbar-toggler" data-target="#navbarNav" data-toggle="collapse" type="button"><span class="navbar-toggler-icon"></span></button><div class="collapse navbar-collapse" id="navbarNav"><ul class="navbar-nav ml-auto"><li class="nav-item dropdown"><a aria-expanded="false" aria-haspopup="true" class="nav-link dropdown-toggle" data-toggle="dropdown" href="#" id="navbarTeamDropdown" role="button">Team</a><div aria-labelledby="navbarTeamDropdown" class="dropdown-menu"><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Team">Team</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Attributions">Attributions</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Collaborations">Collaborations</a></div></li><li class="nav-item dropdown"><a aria-expanded="false" aria-haspopup="true" class="nav-link dropdown-toggle" data-toggle="dropdown" href="#" id="navbarProjectDropdown" role="button">Project</a><div aria-labelledby="navbarProjectDropdown" class="dropdown-menu"><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Contribution">Contribution</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Description">Description</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Engineering">Engineering Success</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Package">Excellence in another area</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Experiments">Experiments</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Model">Model</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Notebook">Notebook</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Partnership">Partnership</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Implementation">Proposed Implementation</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Results">Results</a></div></li><li class="nav-item"><a class="nav-link" href="https://2021.igem.org/Team:UIUC_Illinois/Parts">Parts</a></li><li class="nav-item"><a class="nav-link" href="https://2021.igem.org/Team:UIUC_Illinois/Safety">Safety</a></li><li class="nav-item"><a class="nav-link" href="https://2021.igem.org/Team:UIUC_Illinois/Human_Practices">Human Practices</a></li></ul></div><div class="d-flex" id="themeSwitchWrapper"><i class="far fa-sun"></i><div id="themeSwitch"><label class="switch" for="themeSwitchInput"><input id="themeSwitchInput" type="checkbox"/><span class="slider round"></span></label></div><i class="far fa-moon"></i></div></div></nav><header class="d-flex justify-content-center align-items-center"><div class="container"><h1>Model</h1><p class="lead pl-1">Insight into how our project works</p><hr class="my-4"/></div></header><main><div class="container"><div class="row"><div class="sidebar col-lg-3"><div class="nav" id="contents"><h5>Contents</h5><ul></ul></div></div><div class="content col-lg-9"><article><h1>Overview</h1><p>Protein folding determines the overall function of the enzymes, so it is important to predict its structure from our primary protein structure. We used <a href="https://robetta.bakerlab.org/">Robetta</a> online tool, an online protein structure service evaluated through CAMEO. It allows modelling multi-chain complexes which provide 5 candidate models for RosettaFold</p><p><strong>Assumptions</strong></p><ul><li>Most accurate method based on the benchmark</li><li>Multichain modeling provide MSA with chain sequences</li></ul><p><strong>Parameters</strong></p><ul><li>RoseTTAFold</li><li>No PDB template needed</li></ul><h1>Results</h1><p>For each variant amino acid sequences, there are 5 possible models of folded protein structure. On the right-hand, it has Angstrom error estimate graph. ?</p><ul><li><a href="https://robetta.bakerlab.org/results.php?id=141778">Varient 1 Results</a></li><li><a href="https://robetta.bakerlab.org/results.php?id=141784">Varient 2 Results</a></li><li><a href="https://robetta.bakerlab.org/results.php?id=141785">Varient 3 Results</a></li><li>PDB files are available on <a href="https://github.com/UIUCiGEM/apPETite-pdb">UIUC-iGEM github repo</a></li></ul><h2>Varient 1</h2><div class="image"><img alt="Results of RoseTTAFold of variant 1" src="https://static.igem.org/mediawiki/2021/5/56/T--UIUC_Illinois--img--Model--varient1--3d-structure.png"/><p>Figure 1: Results of RoseTTAFold of variant 1</p></div><h2>Variant2</h2><div class="image"><img alt="Results of RoseTTAFold of variant 2" src="https://static.igem.org/mediawiki/2021/2/2e/T--UIUC_Illinois--img--Model--varient2--3d-structure.png"/><p>Figure 2: Results of RoseTTAFold of variant 2</p></div><h2>Variant3</h2><div class="image"><img alt="Results of RoseTTAFold of variant 3" src="https://static.igem.org/mediawiki/2021/c/cf/T--UIUC_Illinois--img--Model--varient3--3d-structure.png"/><p>Figure 3: Results of RoseTTAFold of variant 3</p></div><h1>Comparing variant structures to wildtype structures</h1><p>We used pairwise Structure Alignment tool from RCSB](https://www.rcsb.org/alignment)</p><ul><li>Variant 1</li></ul><div class="image"><img alt="Structural alignment with 6EQD WT and variant 1" src="https://static.igem.org/mediawiki/2021/8/8f/T--UIUC_Illinois--img--Model--alignment--v1.png"/><p>Figure 4: Structural alignment with 6EQD WT and variant 1</p></div><p>Our first variant has 85% sequence similarity and 83% sequence identity when compared to the wildtype isPETase sequence. Pairwise structure alignment gave this variant a template-modeling score of 0.79, on a scale from 0 to 1, and a structural similarity score of 664.37.</p><ul><li>Variant 2</li></ul><div class="image"><img alt="Structural alignment with 6EQD WT and variant 2" src="https://static.igem.org/mediawiki/2021/1/11/T--UIUC_Illinois--img--Model--alignment--v2.png"/><p>Figure 5: Structural alignment with 6EQD WT and variant 2</p></div><p>Our second variant has 87% sequence similarity and 86% sequence identity when compared to the wildtype isPETase sequence. Pairwise structure alignment gave this variant a template-modeling score of 0.82, on a scale from 0 to 1, and a structural similarity score of 686.17.</p><ul><li>Variant 3</li></ul><div class="image"><img alt="Structural alignment with 6EQD WT and variant 3" src="https://static.igem.org/mediawiki/2021/5/55/T--UIUC_Illinois--img--Model--alignment--v3.png"/><p>Figure 6: Structural alignment with 6EQD WT and variant 3</p></div><p>Our third variant has 99% sequence similarity and 98% sequence identity when compared to the wildtype isPETase sequence, the highest values out of all of our variants. Pairwise structure alignment gave this variant a template-modeling score of 0.84 and a structural similarity score of 756.65, the highest scores out of all our variants.</p><h1>Description</h1><p>Above are our predicted structures for the three PETase candidates that will be tested in wetlab, each presented alongside the wildtype isPETase sequence and structure for pairwise sequence alignment. Each test presents a sequence similarity percentage, sequence identity percentage, template modeling score, structural similarity score, and the root mean square deviation. For all parameters, our third variant displays the best results, sharing nearly 99% similarities in structure with the wildtype sequence and also possessing the highest structural similarity score and lowest root mean square deviation.</p></article><article id="references"><h1>References</h1><ol><li id="citation1"><p class="author">Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N. Kinch, R. Dustin Schaeffer, Claudia Millán, Hahnbeom Park, Carson Adams, Caleb R. Glassman, Andy DeGiovanni, Jose H. Pereira, Andria V. Rodrigues, Alberdina A. van Dijk, Ana C. Ebrecht, Diederik J. Opperman, Theo Sagmeister, Christoph Buhlheller, Tea PavkovKeller, Manoj K Rathinaswamy, Udit Dalwadi, Calvin K Yip, John E Burke, K. Christopher Garcia, Nick V. Grishin, Paul D. Adams, Randy J. Read, David Baker. (2021).</p><cite>Accurate prediction of protein structures and interactions using a 3-track network.</cite><p><span class="journalTitle">Science</span> <span class="journalInfo"></span></p><a class="in-text" href="https://doi.org/10.1126/science.abj8754" rel="noopener" target="_blank">CrossRef</a><a class="in-text" href="https://scholar.google.com/scholar?q=Accurate prediction of protein structures and interactions using a 3-track network." rel="noopener" target="_blank">Google Scholar</a><a class="in-text" href="#intext1">Back to text</a></li><li id="citation2"><p class="author">H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N. Bhat, H. Weissig, I.N. Shindyalov, P.E. Bourne. (2000)</p><cite>The Protein Data Bank</cite><p><span class="journalTitle">Nucleic Acids Research</span> <span class="journalInfo"></span></p><a class="in-text" href="https://doi.org/10.1093/nar/28.1.235" rel="noopener" target="_blank">CrossRef</a><a class="in-text" href="https://scholar.google.com/scholar?q=The Protein Data Bank" rel="noopener" target="_blank">Google Scholar</a><a class="in-text" href="#intext2">Back to text</a></li></ol></article></div></div></div></main><footer><div class="container"><div class="row justify-content-center"><div id="footerTeamLogo"></div><div id="UIUCLogo"></div><div id="CABBILogo"></div><div id="IGBLogo"></div></div><p>iGEM UIUC_Illinois</p><p>Email: <a href="mailto:igembitsgoa@gmail.com">illinoisigem@gmail.com</a></p><p>Headquarter: <a href="https://www.igb.illinois.edu/">Carl R. Woese Institute for Genomic Biology</a></p><p>1206 W Gregory Dr. Urbana IL 61801</p><br/><p>Sample template built using the iGEM Wiki Starter Pack by BITS Goa.</p></div></footer><script src="https://2021.igem.org/Template:UIUC_Illinois/content-bundleJS?action=raw&amp;ctype=text/javascript"></script></body></html>
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<html lang="en"><head><meta charset="utf-8"/><meta content="width=device-width,initial-scale=1" name="viewport"/><title>Model | UIUCiGEM</title><script src="https://2020.igem.org/common/MathJax-2.5-latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML"></script><link href="https://2021.igem.org/Template:UIUC_Illinois/css/contentCSS?action=raw&amp;ctype=text/css" rel="stylesheet"/></head><body><nav class="navbar navbar-expand-xl fixed-top"><div class="container d-flex justify-content-between"><a class="navbar-brand" href="https://2021.igem.org/Team:UIUC_Illinois"><i class="navbar-logo"></i></a><button aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation" class="navbar-toggler" data-target="#navbarNav" data-toggle="collapse" type="button"><span class="navbar-toggler-icon"></span></button><div class="collapse navbar-collapse" id="navbarNav"><ul class="navbar-nav ml-auto"><li class="nav-item dropdown"><a aria-expanded="false" aria-haspopup="true" class="nav-link dropdown-toggle" data-toggle="dropdown" href="#" id="navbarTeamDropdown" role="button">Team</a><div aria-labelledby="navbarTeamDropdown" class="dropdown-menu"><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Team">Team</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Attributions">Attributions</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Collaborations">Collaborations</a></div></li><li class="nav-item dropdown"><a aria-expanded="false" aria-haspopup="true" class="nav-link dropdown-toggle" data-toggle="dropdown" href="#" id="navbarProjectDropdown" role="button">Project</a><div aria-labelledby="navbarProjectDropdown" class="dropdown-menu"><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Contribution">Contribution</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Description">Description</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Engineering">Engineering Success</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Package">Excellence in another area</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Experiments">Experiments</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Model">Model</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Notebook">Notebook</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Partnership">Partnership</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Implementation">Proposed Implementation</a><a class="dropdown-item" href="https://2021.igem.org/Team:UIUC_Illinois/Results">Results</a></div></li><li class="nav-item"><a class="nav-link" href="https://2021.igem.org/Team:UIUC_Illinois/Parts">Parts</a></li><li class="nav-item"><a class="nav-link" href="https://2021.igem.org/Team:UIUC_Illinois/Safety">Safety</a></li><li class="nav-item"><a class="nav-link" href="https://2021.igem.org/Team:UIUC_Illinois/Human_Practices">Human Practices</a></li></ul></div><div class="d-flex" id="themeSwitchWrapper"><i class="far fa-sun"></i><div id="themeSwitch"><label class="switch" for="themeSwitchInput"><input id="themeSwitchInput" type="checkbox"/><span class="slider round"></span></label></div><i class="far fa-moon"></i></div></div></nav><header class="d-flex justify-content-center align-items-center"><div class="container"><h1>Model</h1><p class="lead pl-1">Insight into how our project works</p><hr class="my-4"/></div></header><main><div class="container"><div class="row"><div class="sidebar col-lg-3"><div class="nav" id="contents"><h5>Contents</h5><ul></ul></div></div><div class="content col-lg-9"><article><h1>Overview</h1><p>Protein folding determines the overall function of the enzymes, so it is important to predict its structure from our primary protein structure. We used <a href="https://robetta.bakerlab.org/">Robetta</a> online tool, an online protein structure service evaluated through CAMEO. It allows modelling multi-chain complexes which provide 5 candidate models for RosettaFold</p><p><strong>Assumptions</strong></p><ul><li>Most accurate method based on the benchmark</li><li>Multichain modeling provide MSA with chain sequences</li></ul><p><strong>Parameters</strong></p><ul><li>RoseTTAFold</li><li>No PDB template needed</li></ul><h1>Results</h1><p>For each variant amino acid sequences, there are 5 possible models of folded protein structure. On the right-hand, it has Angstrom error estimate graph. ?</p><ul><li><a href="https://robetta.bakerlab.org/results.php?id=141778">Variant 1 Results</a></li><li><a href="https://robetta.bakerlab.org/results.php?id=141784">Variant 2 Results</a></li><li><a href="https://robetta.bakerlab.org/results.php?id=141785">Variant 3 Results</a></li><li>PDB files are available on <a href="https://github.com/UIUCiGEM/apPETite-pdb">UIUC-iGEM github repo</a></li></ul><h2>Variant 1</h2><div class="image"><img alt="Results of RoseTTAFold of variant 1" src="https://static.igem.org/mediawiki/2021/3/3e/T--UIUC_Illinois--img--Model--variant1--3d-structure.png"/><p>Figure 1: Results of RoseTTAFold of variant 1</p></div><h2>Variant2</h2><div class="image"><img alt="Results of RoseTTAFold of variant 2" src="https://static.igem.org/mediawiki/2021/6/6e/T--UIUC_Illinois--img--Model--variant2--3d-structure.png"/><p>Figure 2: Results of RoseTTAFold of variant 2</p></div><h2>Variant3</h2><div class="image"><img alt="Results of RoseTTAFold of variant 3" src="https://static.igem.org/mediawiki/2021/a/a3/T--UIUC_Illinois--img--Model--variant3--3d-structure.png"/><p>Figure 3: Results of RoseTTAFold of variant 3</p></div><h1>Comparing variant structures to wildtype structures</h1><p>We used pairwise Structure Alignment tool from RCSB](https://www.rcsb.org/alignment)</p><ul><li>Variant 1</li></ul><div class="image"><img alt="Structural alignment with 6EQD WT and variant 1" src="https://static.igem.org/mediawiki/2021/8/8f/T--UIUC_Illinois--img--Model--alignment--v1.png"/><p>Figure 4: Structural alignment with 6EQD WT and variant 1</p></div><p>Our first variant has 85% sequence similarity and 83% sequence identity when compared to the wildtype isPETase sequence. Pairwise structure alignment gave this variant a template-modeling score of 0.79, on a scale from 0 to 1, and a structural similarity score of 664.37.</p><ul><li>Variant 2</li></ul><div class="image"><img alt="Structural alignment with 6EQD WT and variant 2" src="https://static.igem.org/mediawiki/2021/1/11/T--UIUC_Illinois--img--Model--alignment--v2.png"/><p>Figure 5: Structural alignment with 6EQD WT and variant 2</p></div><p>Our second variant has 87% sequence similarity and 86% sequence identity when compared to the wildtype isPETase sequence. Pairwise structure alignment gave this variant a template-modeling score of 0.82, on a scale from 0 to 1, and a structural similarity score of 686.17.</p><ul><li>Variant 3</li></ul><div class="image"><img alt="Structural alignment with 6EQD WT and variant 3" src="https://static.igem.org/mediawiki/2021/5/55/T--UIUC_Illinois--img--Model--alignment--v3.png"/><p>Figure 6: Structural alignment with 6EQD WT and variant 3</p></div><p>Our third variant has 99% sequence similarity and 98% sequence identity when compared to the wildtype isPETase sequence, the highest values out of all of our variants. Pairwise structure alignment gave this variant a template-modeling score of 0.84 and a structural similarity score of 756.65, the highest scores out of all our variants.</p><h1>Visualization of PETase candidates</h1><p>Above are our predicted structures for the three PETase candidates that will be tested in wetlab, each presented alongside the wildtype isPETase sequence and structure for pairwise sequence alignment. Each test presents a sequence similarity percentage, sequence identity percentage, template modeling score, structural similarity score, and the root mean square deviation. For all parameters, our third variant displays the best results, sharing nearly 99% similarities in structure with the wildtype sequence and also possessing the highest structural similarity score and lowest root mean square deviation.</p></article><article id="references"><h1>References</h1><ol><li id="citation1"><p class="author">Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N. Kinch, R. Dustin Schaeffer, Claudia Millán, Hahnbeom Park, Carson Adams, Caleb R. Glassman, Andy DeGiovanni, Jose H. Pereira, Andria V. Rodrigues, Alberdina A. van Dijk, Ana C. Ebrecht, Diederik J. Opperman, Theo Sagmeister, Christoph Buhlheller, Tea PavkovKeller, Manoj K Rathinaswamy, Udit Dalwadi, Calvin K Yip, John E Burke, K. Christopher Garcia, Nick V. Grishin, Paul D. Adams, Randy J. Read, David Baker. (2021).</p><cite>Accurate prediction of protein structures and interactions using a 3-track network.</cite><p><span class="journalTitle">Science</span> <span class="journalInfo"></span></p><a class="in-text" href="https://doi.org/10.1126/science.abj8754" rel="noopener" target="_blank">CrossRef</a><a class="in-text" href="https://scholar.google.com/scholar?q=Accurate prediction of protein structures and interactions using a 3-track network." rel="noopener" target="_blank">Google Scholar</a><a class="in-text" href="#intext1">Back to text</a></li><li id="citation2"><p class="author">H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N. Bhat, H. Weissig, I.N. Shindyalov, P.E. Bourne. (2000)</p><cite>The Protein Data Bank</cite><p><span class="journalTitle">Nucleic Acids Research</span> <span class="journalInfo"></span></p><a class="in-text" href="https://doi.org/10.1093/nar/28.1.235" rel="noopener" target="_blank">CrossRef</a><a class="in-text" href="https://scholar.google.com/scholar?q=The Protein Data Bank" rel="noopener" target="_blank">Google Scholar</a><a class="in-text" href="#intext2">Back to text</a></li></ol></article></div></div></div></main><footer><div class="container"><div class="row justify-content-center"><div id="footerTeamLogo"></div><div id="UIUCLogo"></div><div id="CABBILogo"></div><div id="IGBLogo"></div></div><p>iGEM UIUC_Illinois</p><p>Email: <a href="mailto:igembitsgoa@gmail.com">illinoisigem@gmail.com</a></p><p>Headquarter: <a href="https://www.igb.illinois.edu/">Carl R. Woese Institute for Genomic Biology</a></p><p>1206 W Gregory Dr. Urbana IL 61801</p><br/><p>Sample template built using the iGEM Wiki Starter Pack by BITS Goa.</p><p>2021 UIUC_Illinois[Judging Form](https://igem.org/2021_Judging_Form?id=3713)</p></div></footer><script src="https://2021.igem.org/Template:UIUC_Illinois/content-bundleJS?action=raw&amp;ctype=text/javascript"></script></body></html>

Latest revision as of 02:57, 22 October 2021

Model | UIUCiGEM

Model

Insight into how our project works


Overview

Protein folding determines the overall function of the enzymes, so it is important to predict its structure from our primary protein structure. We used Robetta online tool, an online protein structure service evaluated through CAMEO. It allows modelling multi-chain complexes which provide 5 candidate models for RosettaFold

Assumptions

  • Most accurate method based on the benchmark
  • Multichain modeling provide MSA with chain sequences

Parameters

  • RoseTTAFold
  • No PDB template needed

Results

For each variant amino acid sequences, there are 5 possible models of folded protein structure. On the right-hand, it has Angstrom error estimate graph. ?

Variant 1

Results of RoseTTAFold of variant 1

Figure 1: Results of RoseTTAFold of variant 1

Variant2

Results of RoseTTAFold of variant 2

Figure 2: Results of RoseTTAFold of variant 2

Variant3

Results of RoseTTAFold of variant 3

Figure 3: Results of RoseTTAFold of variant 3

Comparing variant structures to wildtype structures

We used pairwise Structure Alignment tool from RCSB](https://www.rcsb.org/alignment)

  • Variant 1
Structural alignment with 6EQD WT and variant 1

Figure 4: Structural alignment with 6EQD WT and variant 1

Our first variant has 85% sequence similarity and 83% sequence identity when compared to the wildtype isPETase sequence. Pairwise structure alignment gave this variant a template-modeling score of 0.79, on a scale from 0 to 1, and a structural similarity score of 664.37.

  • Variant 2
Structural alignment with 6EQD WT and variant 2

Figure 5: Structural alignment with 6EQD WT and variant 2

Our second variant has 87% sequence similarity and 86% sequence identity when compared to the wildtype isPETase sequence. Pairwise structure alignment gave this variant a template-modeling score of 0.82, on a scale from 0 to 1, and a structural similarity score of 686.17.

  • Variant 3
Structural alignment with 6EQD WT and variant 3

Figure 6: Structural alignment with 6EQD WT and variant 3

Our third variant has 99% sequence similarity and 98% sequence identity when compared to the wildtype isPETase sequence, the highest values out of all of our variants. Pairwise structure alignment gave this variant a template-modeling score of 0.84 and a structural similarity score of 756.65, the highest scores out of all our variants.

Visualization of PETase candidates

Above are our predicted structures for the three PETase candidates that will be tested in wetlab, each presented alongside the wildtype isPETase sequence and structure for pairwise sequence alignment. Each test presents a sequence similarity percentage, sequence identity percentage, template modeling score, structural similarity score, and the root mean square deviation. For all parameters, our third variant displays the best results, sharing nearly 99% similarities in structure with the wildtype sequence and also possessing the highest structural similarity score and lowest root mean square deviation.

References

  1. Minkyung Baek, Frank DiMaio, Ivan Anishchenko, Justas Dauparas, Sergey Ovchinnikov, Gyu Rie Lee, Jue Wang, Qian Cong, Lisa N. Kinch, R. Dustin Schaeffer, Claudia Millán, Hahnbeom Park, Carson Adams, Caleb R. Glassman, Andy DeGiovanni, Jose H. Pereira, Andria V. Rodrigues, Alberdina A. van Dijk, Ana C. Ebrecht, Diederik J. Opperman, Theo Sagmeister, Christoph Buhlheller, Tea PavkovKeller, Manoj K Rathinaswamy, Udit Dalwadi, Calvin K Yip, John E Burke, K. Christopher Garcia, Nick V. Grishin, Paul D. Adams, Randy J. Read, David Baker. (2021).

    Accurate prediction of protein structures and interactions using a 3-track network.

    Science

    CrossRefGoogle ScholarBack to text
  2. H.M. Berman, J. Westbrook, Z. Feng, G. Gilliland, T.N. Bhat, H. Weissig, I.N. Shindyalov, P.E. Bourne. (2000)

    The Protein Data Bank

    Nucleic Acids Research

    CrossRefGoogle ScholarBack to text