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[[Image:Absorbancelongph7cold.png|400px|left|Absorbance at 405nm of a PNPA+Protein solution with pH = 7 and sodium chloride in a cold environment.]]
[[Image:Absorbancelongph7cold.png|400px|left|Absorbance at 405nm of a PNPA+Protein solution with pH = 7 and sodium chloride in a cold environment.]]
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[[Image:Absorbancecoldph7try.png|500px|left|A trendline showing the potential relationship between absorbance and time in a PNPA+Protein solution in a solution with a pH of 7, sodium chloride, and a external temperature of 4 C.]]
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[[Image:Absorbancecoldph7try.png|1000px|left|A trendline showing the potential relationship between absorbance and time in a PNPA+Protein solution in a solution with a pH of 7, sodium chloride, and a external temperature of 4 C.]]
A linear equation of y=9.275x10^-7x+1x10^-4 with a coefficient of determination of 0.8492 was calculated using linear regression.
A linear equation of y=9.275x10^-7x+1x10^-4 with a coefficient of determination of 0.8492 was calculated using linear regression.
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[[Image:Tablebeerlaw.png|600px|left|thumb|Beer-Lambert Law sample calculation.]]
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[[Image:Tablebeerlaw.png|1000px|left|thumb|Beer-Lambert Law sample calculation.]]
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[[Image:Concentrationcoldmolarabsorb12000ph7.png|400px|left|thumb|A trendline showing the potential relationship between time and product concentration from the data gathered from the PNPA+Protein solution with pH = 7, sodium chloride, and a cold environment.]]
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[[Image:Concentrationcoldmolarabsorb12000ph7.png|1000px|left|thumb|A trendline showing the potential relationship between time and product concentration from the data gathered from the PNPA+Protein solution with pH = 7, sodium chloride, and a cold environment.]]
Absorbance values can be transformed to units of concentration via the Beer-Lambert law. We must accept the approximation of the Molar Extinction Coefficient for PNPA hydrolysis at 428.7nm as 12000 M^-1 cm^-1. An example calculation is supplied in the table. Graphing time versus concentration and determining the slope of the line yields the enzyme's velocity in M/min. 1mg/mL of PNPA is saturating conditions which implies the Vmax is also the slope. The reaction volume total times Vmax yields Units of Enzyme Activity. This value can be used as a relative comparison tool for enzyme performance in given conditions.
Absorbance values can be transformed to units of concentration via the Beer-Lambert law. We must accept the approximation of the Molar Extinction Coefficient for PNPA hydrolysis at 428.7nm as 12000 M^-1 cm^-1. An example calculation is supplied in the table. Graphing time versus concentration and determining the slope of the line yields the enzyme's velocity in M/min. 1mg/mL of PNPA is saturating conditions which implies the Vmax is also the slope. The reaction volume total times Vmax yields Units of Enzyme Activity. This value can be used as a relative comparison tool for enzyme performance in given conditions.
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[[Image:Iceenzymeefficiencyscinotation.png|400px|left|thumb|Enzyme Activity at neutral pH at cold temperature with Chloride cofactor.]]
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[[Image:Iceenzymeefficiencyscinotation.png|1000px|left|thumb|Enzyme Activity at neutral pH at cold temperature with Chloride cofactor.]]
The cold 4 degrees C reaction was changed to room temperature 20 degrees C. All other conditions remained constant to evaluate the effect of temperature on enzyme. Temperature increase negatively affects enzyme performance. Considering the cold loving nature of Chitinophaga pinensis, the enzyme being more active at a lower temperature is a reasonable conclusion.
The cold 4 degrees C reaction was changed to room temperature 20 degrees C. All other conditions remained constant to evaluate the effect of temperature on enzyme. Temperature increase negatively affects enzyme performance. Considering the cold loving nature of Chitinophaga pinensis, the enzyme being more active at a lower temperature is a reasonable conclusion.
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[[Image:Roomtempconcentrationtime.png|400px|right|thumb|Enzyme Activity at neutral pH at room temperature with Chloride cofactor.]]
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[[Image:Roomtempconcentrationtime.png|1000px|right|thumb|Enzyme Activity at neutral pH at room temperature with Chloride cofactor.]]
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[[Image:Sigfigroomtempenzymeactivity.png|600px|right|thumb|Enzyme Activity at neutral pH at room temperature with Chloride cofactor.]]
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[[Image:Sigfigroomtempenzymeactivity.png|1000px|right|thumb|Enzyme Activity at neutral pH at room temperature with Chloride cofactor.]]
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[[Image:Enzyme units percentage increase.png|1000px|thumb|4 degrees C yields 42.2% increase in Units of Enzyme Activity цmol/minute.]]
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[[Image:Enzyme units percentage increase.png|1000px|left|thumb|4 degrees C yields 42.2% increase in Units of Enzyme Activity цmol/minute.]]
=== Conclusion ===
=== Conclusion ===

Revision as of 16:04, 28 April 2025

Structural Analysis and Proposed Functionality of 4Q7Q

4Q7Q is a homodimeric protein complex that originates from the bacterial species Chitinophaga Pinensis and has a mass of 58.5 kDa. It is a member of the SGNH Hydrolase Superfamily with structural and sequential similarities to esterases and lipases. Current evidence suggests it causes the hydrolysis of esters and/or acetyl groups on lipids/lipid-like molecules via a catalytic triad-like active site.

PDB ID 4Q7Q

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References

  1. 1.0 1.1 4Q7Q. Protein Database, 2014. https://www.rcsb.org/structure/4Q7Q
  2. 2.0 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 Nadzirin, N.; Gardiner, E.; Willett, P.; Artymiuk, P. J.; Firdaus-Raih, M. 2012. SPRITE and ASSAM: web servers for side chain 3D-motif searching in protein structures. Nucleic Acids Res., 40(Web Server Issue), W380-6.
  3. 3.0 3.1 Rio, T. G. D.; et al. Complete genome sequence of Chitinophaga pinensis type strain (UQM 2034). Stand. Genomic. Sci., 2010, 2(1), 87-95. https://pmc.ncbi.nlm.nih.gov/articles/PMC3035255/
  4. 4.0 4.1 4.2 SGNH hydrolase superfamily. InterPro, 2017. https://www.ebi.ac.uk/interpro/entry/InterPro/IPR036514/
  5. 5.0 5.1 5.2 Rio, T. G. D.; et al. Complete genome sequence of Chitinophaga pinensis type strain (UQM 2034). Stand. Genomic. Sci., 2010, 2(1), 87-95. https://pmc.ncbi.nlm.nih.gov/articles/PMC3035255/
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  7. UCSF Chimera--a visualization system for exploratory research and analysis. Pettersen EF, Goddard TD, Huang CC, Couch GS, Greenblatt DM, Meng EC, Ferrin TE. J Comput Chem. 2004 Oct;25(13):1605-12.
  8. Akoh, C. C.; Lee, G.; Liaw, Y.; Huang, T.; Shaw, J. GDSL family of serine esterases/lipases. Prog. Lipid Res., 2004, 43(6), 534-552. https://pubmed.ncbi.nlm.nih.gov/15522763/
  9. 9.0 9.1 9.2 9.3 9.4 9.5 9.6 Holm L, Laiho A, Toronen P, Salgado M (2023) DALI shines a light on remote homologs: one hundred discoveries. Protein Science 23, e4519
  10. 10.0 10.1 10.2 10.3 Bugnon M, Röhrig UF, Goullieux M, Perez MAS, Daina A, Michielin O, Zoete V. SwissDock 2024: major enhancements for small-molecule docking with Attracting Cavities and AutoDock Vina. Nucleic Acids Res. 2024, 52 (W1), W324-W332. DOI: 10.1093/nar/gkae300.
  11. 11.0 11.1 11.2 11.3 Grosdidier A, Zoete V, Michielin O. SwissDock, a protein-small molecule docking web service based on EADock DSS. Nucleic Acids Res. 2011, 39 (Web Server issue), W270-W277. DOI: 10.1093/nar/gkr366
  12. 12.0 12.1 12.2 12.3 Eberhardt J, Santos-Martins D, Tillack AF, Forli S. AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings. J. Chem. Inf. Model., 2021, 61 (8), 3891–3898, DOI: 10.1021/acs.jcim.1c00203
  13. 13.0 13.1 13.2 13.3 Trott O, Olson AJ. AutoDock Vina: Improving the Speed and Accuracy of Docking with a New Scoring Function, Efficient Optimization, and Multithreading. J. Comput. Chem., 2010, 31 (2), 455–461, DOI: 10.1002/jcc.21334
  14. Miesfeld, R. L.; McEvoy, M. M. Biochemistry, 2nd ed.; W. W. Norton & Company, 2021
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  16. 16.0 16.1 Bornscheuer, U. T. Microbial carboxyl esterases: classification, properties and application in biocatalysis. FEMS Microbiol. Rev., 2002, 26(1), 73-81. https://doi.org/10.1111/j.1574-6976.2002.tb00599.x
  17. Schober, I.; Koblitz, J.; Carbasse, J. S.; Ebeling, C.; Schmidt, M. L.; Podstawka, A.; Gupta, R.; Ilangovan, V.; Chamanara, J.; Overmann, J.; Reimer, L. C. BacDive in 2025: the core database for prokaryotic strain data. Nucleic Acids Res., 2024, 53(D1), D748-D756, https://doi.org/10.1093/nar/gkae959
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