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Experimental, computational and chemometrics studies of BSA-vitamin B6 interaction by UV-Vis, FT-IR, fluorescence spectroscopy, molecular dynamics simulation and hard-soft modeling methods.

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TLDR
The interaction of pyridoxine (Vitamin B6) with bovine serum albumin (BSA) is investigated under pseudo-physiological conditions by UV-Vis, fluorescence and FTIR spectroscopy and molecular modeling results showed that VB6-BSA complex formed not only on the basis of electrostatic forces, but also on the based of π-π staking and hydrogen bond.
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This article is published in Bioorganic Chemistry.The article was published on 2016-10-01. It has received 58 citations till now. The article focuses on the topics: Quenching (fluorescence) & Molecular Docking Simulation.

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Molecular interaction of 2,4-diacetylphloroglucinol (DAPG) with human serum albumin (HSA): The spectroscopic, calorimetric and computational investigation

TL;DR: The interaction between HSA and DAPG was investigated through steady-state fluorescence, time-resolved fluorescence (TRF), circular dichroism (CD), Fourier transform infrared (FT-IR) spectroscopy, isothermal titration calorimetry, molecular docking and molecular dynamics simulation (MDS).
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Intermolecular interaction of fosinopril with bovine serum albumin (BSA): The multi-spectroscopic and computational investigation.

TL;DR: The results obtained from fluorescence and UV absorption spectroscopy revealed that the fluorescence quenching mechanism of BSA induced by fosinopril was mediated by the combined dynamic and static quenched, and the static quanching was dominant in this system.
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Unraveling the thermodynamics, binding mechanism and conformational changes of HSA with chromolyn sodium: Multispecroscopy, isothermal titration calorimetry and molecular docking studies.

TL;DR: The negative values of TΔS° and ΔH° obtained from fluorescence spectroscopy and isothermal titration calorimetry, indicate that hydrogen bonding and van der Waal's forces played major role in the binding process and the reaction is exothermic in nature.
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Probing and Manipulating Noncovalent Interactions in Functional Polymeric Systems.

TL;DR: This review systematically discusses the nanomechanical characterization of typical noncovalent interactions in polymeric systems, mainly through direct force measurements at microscopic, nanoscopic, and molecular levels, which provide quantitative information on the binding behaviors.
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Inhibitory mechanism of epicatechin gallate on tyrosinase: inhibitory interaction, conformational change and computational simulation

TL;DR: The research might provide new perspectives on the inhibition mechanism of epicatechin gallate on tyrosinase and a theoretical basis for the prevention and treatment of pigmented skin diseases and anti-browning of catechin as a food supplement.
References
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Book

Principles of fluorescence spectroscopy

TL;DR: This book describes the fundamental aspects of fluorescence, the biochemical applications of this methodology, and the instrumentation used in fluorescence spectroscopy.
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Particle mesh Ewald: An N⋅log(N) method for Ewald sums in large systems

TL;DR: An N⋅log(N) method for evaluating electrostatic energies and forces of large periodic systems is presented based on interpolation of the reciprocal space Ewald sums and evaluation of the resulting convolutions using fast Fourier transforms.
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GROMACS: Fast, flexible, and free

TL;DR: The software suite GROMACS (Groningen MAchine for Chemical Simulation) that was developed at the University of Groningen, The Netherlands, in the early 1990s is described, which is a very fast program for molecular dynamics simulation.
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LINCS : A linear constraint solver for molecular simulations

TL;DR: Although the derivation of the algorithm is presented in terms of matrices, no matrix matrix multiplications are needed and only the nonzero matrix elements have to be stored, making the method useful for very large molecules.
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Automated docking using a Lamarckian genetic algorithm and an empirical binding free energy function

TL;DR: It is shown that both the traditional and Lamarckian genetic algorithms can handle ligands with more degrees of freedom than the simulated annealing method used in earlier versions of AUTODOCK, and that the Lamarckia genetic algorithm is the most efficient, reliable, and successful of the three.
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