Literature DB >> 36180796

Identification of novel inhibitors of S-adenosyl-L-homocysteine hydrolase via structure-based virtual screening and molecular dynamics simulations.

Cong Chen1, Xiang-Hui Zhou1, Wa Cheng1, Yan-Fen Peng1, Qi-Ming Yu2, Xiang-Duan Tan3.   

Abstract

S-adenosyl-L-homocysteine hydrolase (SAHase) is an important regulator in the methylation reactions in many organisms and thus is crucial for numerous cellular functions. In recent years, SAHase has become one of the popular targets for drug design, and SAHase inhibitors have exhibited potent antiviral activity. In this study, we established the complex-based pharmacophore models based on the known crystal complex of SAHase (PDB ID: 1A7A) to screen the drug-likeness compounds of ChEMBL database. Then, three molecular docking programs were used to validate the reliability of compounds, involving Libdock, CDOCKER, and AutoDock Vina programs. The four promising hit compounds (CHEMBL420751, CHEMBL346387, CHEMBL1569958, and CHEMBL4206648) were performed molecular dynamics simulations and MM-PBSA calculations to evaluate their stability and binding-free energy in the binding site of SAHase. After screening and analyzing, the hit compounds CHEMBL420751 and CHEMBL346387 were suggested to further research to obtain novel potential SAHase inhibitors. A series of computer-aided drug design methods, including pharmacophore, molecular docking, molecular dynamics simulation and MM-PBSA calculations, were employed in this study to identity novel inhibitors of S-adenosyl-L-homocysteine hydrolase (SAHase). Some compounds from virtual screening could form various interactions with key residues of SAHase. Among them, compounds CHEMBL346387 and CHEMBL420751 exhibited potent binding affinity from molecular docking and MM-PBSA, and maintained good stability at the binding site during molecular dynamics simulations as well. All these results indicated that the selected compounds might have the potential to be novel SAHase inhibitors.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Molecular docking; Molecular dynamic simulation; Pharmacophore; SAHase inhibitor; Virtual screening

Mesh:

Substances:

Year:  2022        PMID: 36180796     DOI: 10.1007/s00894-022-05298-2

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   2.172


  39 in total

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Journal:  Int J Biochem Cell Biol       Date:  2015-06-24       Impact factor: 5.085

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Journal:  Med Hypotheses       Date:  2004       Impact factor: 1.538

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Authors:  Ben Youngblood; Fa-Kuen Shieh; Fabian Buller; Tim Bullock; Norbert O Reich
Journal:  Biochemistry       Date:  2007-07-07       Impact factor: 3.162

Review 8.  S-Adenosyl Methionine and Transmethylation Pathways in Neuropsychiatric Diseases Throughout Life.

Authors:  Jin Gao; Catherine M Cahill; Xudong Huang; Joshua L Roffman; Stefania Lamon-Fava; Maurizio Fava; David Mischoulon; Jack T Rogers
Journal:  Neurotherapeutics       Date:  2018-01       Impact factor: 7.620

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Authors:  Hyung-Ok Lee; Liqun Wang; Yin-Ming Kuo; Andrew J Andrews; Sapna Gupta; Warren D Kruger
Journal:  Mol Genet Metab Rep       Date:  2018-01-12

10.  DNA methylation perturbations may link altered development and aging in the lung.

Authors:  Priyadarshini Kachroo; Jarrett D Morrow; Carrie A Vyhlidal; Roger Gaedigk; Edwin K Silverman; Scott T Weiss; Kelan G Tantisira; Dawn L DeMeo
Journal:  Aging (Albany NY)       Date:  2021-01-19       Impact factor: 5.682

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