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Journal Abstract Search

332 related items for PubMed ID: 27586952

  • 1. Emergence of dynamic cooperativity in the stochastic kinetics of fluctuating enzymes.
    Kumar A, Chatterjee S, Nandi M, Dua A.
    J Chem Phys; 2016 Aug 28; 145(8):085103. PubMed ID: 27586952
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  • 2. Statistical properties of fluctuating enzymes with dynamic cooperativity using a first passage time distribution formalism.
    Singh D, Chaudhury S.
    J Chem Phys; 2017 Apr 14; 146(14):145103. PubMed ID: 28411619
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  • 4. Single-molecule enzymology à la Michaelis-Menten.
    Grima R, Walter NG, Schnell S.
    FEBS J; 2014 Jan 14; 281(2):518-30. PubMed ID: 24289171
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  • 5. Single-molecule enzymology: stochastic Michaelis-Menten kinetics.
    Qian H, Elson EL.
    Biophys Chem; 2002 Dec 10; 101-102():565-76. PubMed ID: 12488027
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  • 6. Poisson indicator and Fano factor for probing dynamic disorder in single-molecule enzyme inhibition kinetics.
    Chaudhury S.
    J Phys Chem B; 2014 Sep 04; 118(35):10405-12. PubMed ID: 25122511
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  • 9. Parallel versus Off-Pathway Michaelis-Menten Mechanism for Single-Enzyme Kinetics of a Fluctuating Enzyme.
    Kumar A, Maity H, Dua A.
    J Phys Chem B; 2015 Jul 09; 119(27):8490-500. PubMed ID: 26079147
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  • 15. Complex kinetics of fluctuating enzymes: phase diagram characterization of a minimal kinetic scheme.
    Min W, Jiang L, Xie XS.
    Chem Asian J; 2010 May 03; 5(5):1129-38. PubMed ID: 20235274
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  • 16. Legitimacy of the stochastic Michaelis-Menten approximation.
    Sanft KR, Gillespie DT, Petzold LR.
    IET Syst Biol; 2011 Jan 03; 5(1):58. PubMed ID: 21261403
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  • 18. Fluctuating enzymes: lessons from single-molecule studies.
    Min W, English BP, Luo G, Cherayil BJ, Kou SC, Xie XS.
    Acc Chem Res; 2005 Dec 03; 38(12):923-31. PubMed ID: 16359164
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  • 19. Accuracy of the Michaelis-Menten approximation when analysing effects of molecular noise.
    Lawson MJ, Petzold L, Hellander A.
    J R Soc Interface; 2015 May 06; 12(106):. PubMed ID: 25833240
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