Interaction mechanism between microtubule-associated proteins and microtubules. A proton nuclear magnetic resonance analysis on the binding of synthetic peptide to tubulin

Biochemistry ◽  
1990 ◽  
Vol 29 (43) ◽  
pp. 10049-10054 ◽  
Author(s):  
Susumu Kotani ◽  
Gota Kawai ◽  
Shigeyuki Yokoyama ◽  
Hiromu Murofushi
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Synthetic Peptide ◽  
Interaction Mechanism ◽  
Proton Nuclear Magnetic Resonance ◽  
Nuclear Magnetic Resonance Analysis ◽  
Microtubule Associated Proteins ◽  
Resonance Analysis ◽  
Associated Proteins ◽  
Nuclear Magnetic

scholarly journals New insights into prediction of weak π–π complex association through proton-nuclear magnetic resonance analysis

BMC Chemistry ◽  
2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Chenyu Lin ◽  
Joseph Skufca ◽  
Richard E. Partch
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Proton Nuclear Magnetic Resonance ◽  
Nuclear Magnetic Resonance Analysis ◽  
Resonance Analysis ◽  
True Value ◽  
Numeric Simulation ◽  
Variation Patterns ◽  
Π Complex ◽  
Nuclear Magnetic

Abstract For analysis of weak π–π complexes proton-nuclear magnetic resonance (proton-NMR) simultaneously provides information of stacking configurations and association constants $$\left( K \right)$$ K However, an apparent issue for this approach is inconsistent/impossible constant estimation which often leads to unreasonable interpretation for π–π complexation. Whether or not this proton-dependent constant variation could be attributed to simple experimental uncertainties or to more sophisticated additional unspecific shielding effects (AUS effects) was addressed by means of hypothesis tests using a robust bootstrap technique in this report. Our analysis shows the significance of AUS effects on such variation in constant estimation. A following study using numeric simulation further reveals the variation patterns induced by AUS effects and concludes that the largest $$K$$ K among the obtained $$K$$ K estimates of a complex is considered as the best estimate of $$K$$ K due to minimum deviation from the true value of K and the multiple $$K$$ K estimates of a π–π complex could provide preferable inferences for complex geometries.

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