Literature DB >> 22739754

Understanding microscopic binding of macrophage migration inhibitory factor with phenolic hydrazones by molecular docking, molecular dynamics simulations and free energy calculations.

Lei Xu1, Youyong Li, Lin Li, Shunye Zhou, Tingjun Hou.   

Abstract

Macrophage migration inhibitory factor (MIF), an immunoregulatory protein, is a potential target for a number of inflammatory diseases. In the current work, the interactions between MIF and a series of phenolic hydrazones were studied by molecular docking, molecular dynamics (MD) simulations, binding free energy calculations, and binding energy decomposition analysis to determine the structural requirement for achieving favorable biological activity of phenolic hydrazones. First, molecular docking was used to predict the binding modes of inhibitors in the binding site of MIF. The good correlation between the predicted docking scores and the experimental activities shows that the binding conformations of the inhibitors in the active site of MIF are well predicted. Moreover, our results suggest that the flexibility of MIF is essential in ligand binding process. Then, MD simulations and MM/GBSA free energy calculations were employed to determine the dynamic binding process and compare the binding modes of the inhibitors with different activities. The predicted binding free energies given by MM/GBSA are not well correlated with the experimental activities for the two subsets of the inhibitors; however, for each subset, a good correlation between the predicted binding free energies and the experimental activities is achieved. The MM/GBSA free energy decomposition analysis highlights the importance of hydrophobic residues for the MIF binding of the studied inhibitors. Based on the essential factors for MIF-inhibitor interactions derived from the theoretical predictions, some derivatives were designed and the higher inhibitory activities of several candidates were confirmed by molecular docking studies. The structural insights obtained from our study are useful for designing potent inhibitors of MIF.

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Year:  2012        PMID: 22739754     DOI: 10.1039/c2mb25146a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  7 in total

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2.  Detection of persistent organic pollutants binding modes with androgen receptor ligand binding domain by docking and molecular dynamics.

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Journal:  BMC Struct Biol       Date:  2013-09-22

3.  Potential inhibitory effect of indolizine derivatives on the two enzymes: nicotinamide phosphoribosyltransferase and beta lactamase, a molecular dynamics study.

Authors:  Beata Szefler; Przemysław Czeleń
Journal:  J Mol Model       Date:  2017-06-20       Impact factor: 1.810

4.  Assessing the performance of MM/PBSA and MM/GBSA methods. 8. Predicting binding free energies and poses of protein-RNA complexes.

Authors:  Fu Chen; Huiyong Sun; Junmei Wang; Feng Zhu; Hui Liu; Zhe Wang; Tailong Lei; Youyong Li; Tingjun Hou
Journal:  RNA       Date:  2018-06-21       Impact factor: 4.942

5.  Statistical Analysis on the Performance of Molecular Mechanics Poisson-Boltzmann Surface Area versus Absolute Binding Free Energy Calculations: Bromodomains as a Case Study.

Authors:  Matteo Aldeghi; Michael J Bodkin; Stefan Knapp; Philip C Biggin
Journal:  J Chem Inf Model       Date:  2017-08-24       Impact factor: 4.956

6.  Discovery of a novel phosphoinositide 3-kinase gamma (PI3Kγ) inhibitor against hematologic malignancies and theoretical studies on its PI3Kγ-specific binding mechanisms.

Authors:  Jingyu Zhu; Ke Ke; Lei Xu; Jian Jin
Journal:  RSC Adv       Date:  2019-06-28       Impact factor: 4.036

7.  Molecular modeling study on the allosteric inhibition mechanism of HIV-1 integrase by LEDGF/p75 binding site inhibitors.

Authors:  Weiwei Xue; Huanxiang Liu; Xiaojun Yao
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

  7 in total

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