Literature DB >> 20043649

Theory and normal-mode analysis of change in protein vibrational dynamics on ligand binding.

Kei Moritsugu1, Brigitte M Njunda, Jeremy C Smith.   

Abstract

The change of protein vibrations on ligand binding is of functional and thermodynamic importance. Here, this process is characterized using a simple analytical "ball-and-spring" model and all-atom normal-mode analysis (NMA) of the binding of the cancer drug, methotrexate (MTX) to its target, dihydrofolate reductase (DHFR). The analytical model predicts that the coupling between protein vibrations and ligand external motion generates entropy-rich, low-frequency vibrations in the complex. This is consistent with the atomistic NMA which reveals vibrational softening in forming the DHFR-MTX complex, a result also in qualitative agreement with neutron-scattering experiments. Energy minimization of the atomistic bound-state (B) structure while gradually decreasing the ligand interaction to zero allows the generation of a hypothetical "intermediate" (I) state, without the ligand force field but with a structure similar to that of B. In going from I to B, it is found that the vibrational entropies of both the protein and MTX decrease while the complex structure becomes enthalpically stabilized. However, the relatively weak DHFR:MTX interaction energy results in the net entropy gain arising from coupling between the protein and MTX external motion being larger than the loss of vibrational entropy on complex formation. This, together with the I structure being more flexible than the unbound structure, results in the observed vibrational softening on ligand binding.

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Year:  2010        PMID: 20043649     DOI: 10.1021/jp909677p

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  6 in total

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2.  Moving in the Right Direction: Protein Vibrations Steering Function.

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4.  Epithelial Sodium Channel Inhibition by Amiloride Addressed with THz Spectroscopy and Molecular Modeling.

Authors:  Maria Mernea; Roxana Ștefania Ulăreanu; Dana Cucu; Jasim Hafedh Al-Saedi; Cristian-Emilian Pop; Sergiu Fendrihan; Giorgiana Diana Carmen Anghelescu; Dan Florin Mihăilescu
Journal:  Molecules       Date:  2022-05-19       Impact factor: 4.927

5.  Incorporating Protein Dynamics Through Ensemble Docking in Machine Learning Models to Predict Drug Binding.

Authors:  Fatemah Alghamedy; Jeevith Bopaiah; Derek Jones; Xiaofei Zhang; Heidi L Weiss; Sally R Ellingson
Journal:  AMIA Jt Summits Transl Sci Proc       Date:  2018-05-18

6.  Frequency response of a protein to local conformational perturbations.

Authors:  Dilek Eren; Burak Alakent
Journal:  PLoS Comput Biol       Date:  2013-09-26       Impact factor: 4.475

  6 in total

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