Integration of In Silico Strategies for Drug Repositioning towards P38α Mitogen-Activated Protein Kinase (MAPK) at the Allosteric Site.

MD simulation allosteric inhibitors computer-aided drug discovery drug repositioning in silico screening molecular docking p38α MAPK

Journal

Pharmaceutics
ISSN: 1999-4923
Titre abrégé: Pharmaceutics
Pays: Switzerland
ID NLM: 101534003

Informations de publication

Date de publication:
13 Jul 2022
Historique:
received: 16 05 2022
revised: 05 07 2022
accepted: 10 07 2022
entrez: 27 7 2022
pubmed: 28 7 2022
medline: 28 7 2022
Statut: epublish

Résumé

P38α mitogen-activated protein kinase (p38α MAPK), one of the p38 MAPK isoforms participating in a signaling cascade, has been identified for its pivotal role in the regulation of physiological processes such as cell proliferation, differentiation, survival, and death. Herein, by shedding light on docking- and 100-ns dynamic-based screening from 3210 FDA-approved drugs, we found that lomitapide (a lipid-lowering agent) and nilotinib (a Bcr-Abl fusion protein inhibitor) could alternatively inhibit phosphorylation of p38α MAPK at the allosteric site. All-atom molecular dynamics simulations and free energy calculations including end-point and QM-based ONIOM methods revealed that the binding affinity of the two screened drugs exhibited a comparable level as the known p38α MAPK inhibitor (BIRB796), suggesting the high potential of being a novel p38α MAPK inhibitor. In addition, noncovalent contacts and the number of hydrogen bonds were found to be corresponding with the great binding recognition. Key influential amino acids were mostly hydrophobic residues, while the two charged residues including E71 and D168 were considered crucial ones due to their ability to form very strong H-bonds with the focused drugs. Altogether, our contributions obtained here could be theoretical guidance for further conducting experimental-based preclinical studies necessary for developing therapeutic agents targeting p38α MAPK.

Identifiants

pubmed: 35890356
pii: pharmaceutics14071461
doi: 10.3390/pharmaceutics14071461
pmc: PMC9321129
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

J Comput Chem. 2004 Jul 15;25(9):1157-74
pubmed: 15116359
Cancer Res. 2015 Oct 1;75(19):3997-4002
pubmed: 26377941
Expert Opin Ther Pat. 2020 Jun;30(6):453-466
pubmed: 32228113
Pharmaceutics. 2021 Dec 28;14(1):
pubmed: 35056955
J Phys Chem B. 2009 Jul 23;113(29):9958-67
pubmed: 19545155
J Chem Inf Model. 2011 Dec 27;51(12):3235-46
pubmed: 22097958
Cancers (Basel). 2019 Mar 28;11(4):
pubmed: 30925736
J Chem Inf Model. 2007 Jan-Feb;47(1):122-33
pubmed: 17238257
Skelet Muscle. 2018 Feb 20;8(1):5
pubmed: 29463296
J Chem Inf Model. 2013 Jul 22;53(7):1775-86
pubmed: 23808966
J Dent Res. 2007 Sep;86(9):800-11
pubmed: 17720847
Nucleic Acids Res. 2008 Jul 1;36(Web Server issue):W223-8
pubmed: 18424800
Ann Rheum Dis. 2008 Jul;67(7):909-16
pubmed: 17827184
Curr Med Chem. 2005;12(25):2979-94
pubmed: 16378500
Nat Struct Biol. 2002 Apr;9(4):268-72
pubmed: 11896401
J Cheminform. 2016 May 18;8:27
pubmed: 27195023
Nat Rev Mol Cell Biol. 2021 May;22(5):346-366
pubmed: 33504982
Ann Rheum Dis. 2006 Nov;65 Suppl 3:iii83-8
pubmed: 17038480
Cell Mol Life Sci. 2009 Apr;66(7):1163-77
pubmed: 19011754
ChemMedChem. 2018 Jan 8;13(1):7-14
pubmed: 29210532
Cancer Cell. 2007 Feb;11(2):191-205
pubmed: 17292829
Nucleic Acids Res. 2018 Jul 2;46(W1):W296-W303
pubmed: 29788355
Int J Mol Sci. 2020 Feb 07;21(3):
pubmed: 32046099
J Med Chem. 2021 Mar 11;64(5):2489-2500
pubmed: 33617246
Microbiol Mol Biol Rev. 2011 Mar;75(1):50-83
pubmed: 21372320
J Mol Cell Cardiol. 2020 Jul;144:63-65
pubmed: 32422320
Molecules. 2022 Mar 15;27(6):
pubmed: 35335272
J Chem Phys. 2004 Apr 8;120(14):6363-74
pubmed: 15267525
Biochim Biophys Acta. 2010 Apr;1802(4):396-405
pubmed: 20079433
J Chem Theory Comput. 2011 Feb 8;7(2):525-37
pubmed: 26596171
J Phys Chem B. 2021 Dec 23;125(50):13644-13656
pubmed: 34904832
Nat Rev Drug Discov. 2003 Sep;2(9):717-26
pubmed: 12951578
Phys Chem Chem Phys. 2022 Jun 15;24(23):14525-14537
pubmed: 35661842

Auteurs

Utid Suriya (U)

Program in Biotechnology, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand.

Panupong Mahalapbutr (P)

Department of Biochemistry, Center for Translational Medicine, Faculty of Medicine, Khon Kaen University, Khan Kaen 40002, Thailand.

Thanyada Rungrotmongkol (T)

Center of Excellence in Structural and Computational Biology, Department of Biochemistry, Chulalongkorn University, Bangkok 10330, Thailand.
Ph.D. Program in Bioinformatics and Computational Biology, Graduate School, Chulalongkorn University, Bangkok 10330, Thailand.

Classifications MeSH