Journal of Peking University (Health Sciences) ›› 2022, Vol. 54 ›› Issue (1): 23-30. doi: 10.19723/j.issn.1671-167X.2022.01.005

Previous Articles     Next Articles

Computer simulation of molecular docking between methylene blue and some proteins of Porphyromonas gingivalis

YUAN Lin-tian1,2,MA Li-sha2,LIU Run-yuan3,QI wei1,2,ZHANG Lu-dan2,4,WANG Gui-yan2,5,WANG Yu-guang2,()   

  1. 1. Department of General Medicine, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
    2. Center for Digital Dentistry, Peking University School and Hospital of Stomatology, Beijing 100081, China
    3. Department of Endodontics, College of Stomatology, Dalian Medical University, Dalian 116044, Liaoning, China
    4. First Clinical Division, Peking University School and Hospital of Stomatology, Beijing 100081, China
    5. Department of Pediatric Dentistry, Peking University School and Hospital of Stomatology, Beijing 100081, China
  • Received:2020-10-10 Online:2022-02-18 Published:2022-02-21
  • Contact: Yu-guang WANG E-mail:wangyuguang@bjmu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(51972003);National Key Research and Development Plan(2018YFE0192500);Capital Characteristic Clinical Research(Z181100001718186);Fundamental Research Funds for the Central Universities: Peking University Medicine Seed Fund for Interdisciplinary Research(BMU2020MX013);Smart Medical Project of Peking University Health Science Center(BMU2019ZHYL003)

Abstract:

Objective: To study the binding target of photosensitizer and bacteria in antimicrobial photodynamic therapy with computer-simulated target prediction and molecular docking research methods and to calculate the binding energy. Methods: The protein names of Porphyromonas gingivalis (Pg) were obtained and summarized in Uniprot database and RCSB PDB database; the structure diagrams of methy-lene blue were screened in SciFinder database, PubChem database, ChemSpider database, and Chemical Book, and ChemBioDraw software was used to draw and confirm the three-dimensional structure for target prediction and Cytoscape software was used to build a visual network diagram; a protein interaction network was searched and built between the methylene blue target and the common target of Pg in the String database; then we selected FimA, Mfa4, RgpB, and Kgp K1 proteins, used AutoDock software to calculate the docking energy of methylene blue and the above-mentioned proteins and performed molecular docking. Results: The target prediction results showed that there were 19 common targets between the 268 potential targets of methylene blue and 1 865 Pg proteins. The 19 targets were: groS, radA, rplA, dps, fabH, pyrG, thyA, panC, RHO, frdA, ileS, bioA, def, ddl, TPR, murA, lepB, cobT, and gyrB. The results of the molecular docking showed that methylene blue could bind to 9 sites of FimA protein, with a binding energy of -6.26 kcal/mol; with 4 sites of Mfa4 protein and hydrogen bond formation site GLU47, and the binding energy of -5.91 kcal/mol, the binding energy of LYS80, the hydrogen bond forming site of RgpB protein, was -5.14 kcal/mol, and the binding energy of 6 sites of Kgp K1 protein and the hydrogen bond forming site GLY1114 of -5.07 kcal/mol. Conclusion: Computer simulation of target prediction and molecular docking technology can initially reveal the binding, degree of binding and binding sites of methylene blue and Pg proteins. This method provides a reference for future research on the screening of binding sites of photosensitizers to cells and bacteria.

Key words: Target prediction, Molecular docking, Photodynamic, Methylene blue, Porphyromonas gingivalis

CLC Number: 

  • R781.4

Figure 1

Visual network diagram of drug components-targets"

Figure 2

PPI network diagram of drug-bacterial PPI diagram"

Figure 3

Molecule docking diagram of methylene blue and target protein FimA A, methylene blue structure; B, FimA protein structure; C, methylene blue and FimA protein docking (overall); D, methylene blue and FimA protein docking (partial)."

Figure 4

The molecular docking diagram of methylene blue and the target protein Mfa4 protein A, methylene blue structure; B, Mfa4 protein structure; C, methylene blue and Mfa4 protein docking (overall); D, methylene blue and Mfa4 protein docking (partial)."

Figure 5

Molecule docking model diagram of methylene blue and RgpB protein A, methylene blue structure; B, RgpB protein structure; C, methylene blue and RgpB protein docking (overall); D, methylene blue and RgpB protein docking (partial)."

Figure 6

The molecular docking diagram of methylene blue and Kgp K1 protein A, methylene blue structure; B, Kgp K1 protein structure; C, methylene blue and Kgp K1 protein docking (overall); D, methylene blue and Kgp K1 protein docking (partial)."

[1] Aoyama N, Suzuki JI, Kobayashi N, et al. Associations among tooth loss, systemic inflammation and antibody titers to periodontal pathogens in Japanese patients with cardiovascular disease[J]. J Periodontal Res, 2018, 53(1):117-122.
doi: 10.1111/jre.12494 pmid: 29139559
[2] Papapanou PN, Sanz M, Budunneli N, et al. Periodontitis: consensus report of workgroup 2 of the 2017 World Workshop on the Classification of Periodontal and Peri-Implant Diseases and Conditions[J]. J Periodontol, 2018, 89(Suppl 1):173-182.
[3] Yan X, Lu H, Zhang L, et al. A three-year study on periodontal microorganisms of short locking-taper implants and adjacent teeth in patients with history of periodontitis[J]. J Dent, 2020, 95:103299.
doi: 10.1016/j.jdent.2020.103299
[4] 梁雨晴, 董秤均, 伍文彬. 牙龈卟啉单胞菌与阿尔茨海默病的相关性研究进展[J]. 中华神经医学杂志, 2020, 19(5):525-527.
[5] 王春萌, 洪丽华, 张志民, 等. 牙龈卟啉单胞菌在消化系统恶性肿瘤中的作用及机制[J]. 华西口腔医学杂志, 2019, 37(5):521-526.
[6] Kou Y, Inaba H, Kato T, et al. Inflammatory responses of gingival epithelial cells stimulated with Porphyromonas gingivalis vesicles are inhibited by hop-associated polyphenols[J]. J Periodontol, 2008, 79(1):174-180.
doi: 10.1902/jop.2008.070364
[7] Ikal R, Hasegawa Y, Izumigawa M, et al. Mfa4, an accessory protein of Mfa1 fimbriae, modulates fimbrial biogenesis, cell auto-aggregation, and biofilm formation in Porphyromonas gingivalis[J]. PLoS One, 2015, 10(10):e0129454
doi: 10.1371/journal.pone.0129454
[8] Kato T, Kawai S, Nakano K, et al. Virulence of Porphyromonas gingivalis is altered by substitution of fimbria gene with different genotype[J]. Cell Microbiol, 2007, 9(3):753-765.
doi: 10.1111/cmi.2007.9.issue-3
[9] Cieplik F, Deng D, Crielaard W, et al. Antimicrobial photodynamic therapy: what we know and what we don’t[J]. Crit Rev Microbiol, 2018, 44(5):571-589.
doi: 10.1080/1040841X.2018.1467876 pmid: 29749263
[10] Kwiatkowski S, Knap B, Prielaard D, et al. Photodynamic therapy mechanisms, photosensitizers and combinations[J]. Biomed Pharmacother, 2018, 106:1098-1107.
doi: S0753-3322(18)34161-1 pmid: 30119176
[11] Malik Z, Ladan H, Nitzan Y. Photodynamic inactivation of Gram-negative bacteria: problems and possible solutions[J]. J Photochem Photobiol B, 1992, 14(3):262-266.
doi: 10.1016/1011-1344(92)85104-3
[12] Nitzan Y, Gutterman M, Malik Z, et al. Inactivation of gram-negative bacteria by photosensitized porphyrins[J]. Photochem Photobiol, 1992, 55(1):89-96.
pmid: 1534909
[13] Malik Z, Hanania J, Nitzan Y. Bactericidal effects of photoactivated porphyrins: an alternative approach to antimicrobial drugs[J]. J Photochem Photobiol B, 1990, 5(3/4):281-293.
doi: 10.1016/1011-1344(90)85044-W
[14] Wang KK, Finlay JC, Busch TM, et al. Explicit dosimetry for photodynamic therapy: macroscopic singlet oxygen modeling[J]. J Biophotonics, 2010, 3(5/6):304-318.
doi: 10.1002/jbio.v3:5/6
[15] Kuimove MK, Yahioglu G, Ogilby PR. Singlet oxygen in a cell: spatially dependent lifetimes and quenching rate constants[J]. J Am Chem Soc, 2009, 131(1):332-340.
doi: 10.1021/ja807484b
[16] Redmond RW, Kochevar IE. Spatially resolved cellular responses to singlet oxygen[J]. Photochem Photobiol, 2006, 82(5):1178-1186.
pmid: 16740059
[17] Pourhajibagher M, Bahador A. Gene expression profiling of fimA gene encoding fimbriae among clinical isolates of Porphyromonas gingivalis in response to photo-activated disinfection therapy[J]. Photodiagnosis Photodyn Ther, 2017, 20:1-5.
doi: S1572-1000(17)30343-5 pmid: 28797828
[18] Pourhajibagher M, Bahador A. Evaluation of the crystal structure of a fimbrillin (FimA) from Porphyromonas gingivalis as a therapeutic target for photo-activated disinfection with toluidine blue O[J]. Photodiagnosis Photodyn Ther, 2017, 17:98-102.
doi: S1572-1000(16)30199-5 pmid: 27890593
[19] Pourhajibagher M, Bahador A. In silico identification of a therapeutic target for photo-activated disinfection with indocyanine green: modeling and virtual screening analysis of Arg-gingipain from Porphyromonas gingivalis[J]. Photodiagnosis Photodyn Ther, 2017, 18:149-154.
doi: S1572-1000(17)30006-6 pmid: 28254551
[20] Forli S, Huey R, Pique ME, et al. Computational protein-ligand docking and virtual drug screening with the AutoDock suite[J]. Nat Protoc, 2016, 11(5):905-919.
doi: 10.1038/nprot.2016.051
[21] Ongarora BG, Fontenot KR, HU X, et al. Phthalocyanine-peptide conjugates for epidermal growth factor receptor targeting[J]. J Med Chem, 2012, 55(8):3725-3738.
doi: 10.1021/jm201544y pmid: 22468711
[22] Shanmugaraj K, Anandakumar S, Ilanchelian M. Unraveling the binding interaction of Toluidine blue O with bovine hemoglobin: a multi spectroscopic and molecular modeling approach[J]. Rsc Advances, 2015, 5(6):3930-3940.
doi: 10.1039/C4RA11136B
[23] Tsvetkov VB, Soloveva AB, Melik-Nubarov NS. Computer modeling of the complexes of Chlorin e6 with amphiphilic polymers[J]. Phys Chem Chem Phy, 2014, 16(22):10903-10913.
[24] Zhang Y, Wan Y, Chen Y, et al. Ultrasound-enhanced chemo-photodynamic combination therapy by using albumin “nanoglue”-based nanotheranostics[J]. Acs Nano, 2020, 14(5):5560-5569.
doi: 10.1021/acsnano.9b09827
[25] Kandoussi I, Lakhlili W, Taoufik J, et al. Docking analysis of verteporfin with YAP WW domain[J]. Bioinformation, 2017, 13(7):237-240.
doi: 10.6026/97320630013237 pmid: 28943729
[26] Alves E, Faustino MA, Neves MG, et al. An insight on bacterial cellular targets of photodynamic inactivation[J]. Future Med Chem, 2014, 6(2):141-164.
doi: 10.4155/fmc.13.211
[27] Nagano K. FimA fimbriae of the periodontal disease-associated bacterium Porphyromonas gingivalis[J]. Yakugaku Zasshi, 2013, 133(9):963-974.
pmid: 23995804
[28] Xu Q, Shoji M, Shibata S, et al. A distinct type of pilus from the human microbiome[J]. Cell, 2016, 165(3):690-703.
doi: 10.1016/j.cell.2016.03.016
[29] Zhou XY, Gao JL, Hunter N, et al. Sequence-independent processing site of the C-terminal domain (CTD) influences maturation of the RgpB protease from Porphyromonas gingivalis[J]. Mol Microbiol, 2013, 89(5):903-917.
doi: 10.1111/mmi.2013.89.issue-5
[30] 尧晨光, 奚彩丽, 朱祥, 等. EV71 3C蛋白酶表达纯化、活性分析及与抑制剂模拟对接研究[J]. 中国病原生物学杂志, 2017, 12(8):722-726.
[31] 刘福和, 陈少军, 倪文娟. 川芎中抗血栓活性成分的计算机虚拟筛选研究[J]. 中国药房, 2017, 28(16):2182-2186.
[1] CAO Ze,WANG Le-tong,LIU Zhen-ming. Homologous modeling and binding ability analysis of Spike protein after point mutation of severe acute respiratory syndrome coronavirus 2 to receptor proteins and potential antiviral drugs [J]. Journal of Peking University (Health Sciences), 2021, 53(1): 150-158.
[2] Yan XUAN,Yu CAI,Xiao-xuan WANG,Qiao SHI,Li-xin QIU,Qing-xian LUAN. Effect of Porphyromonas gingivalis infection on atherosclerosis in apolipoprotein-E knockout mice [J]. Journal of Peking University (Health Sciences), 2020, 52(4): 743-749.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] . [J]. Journal of Peking University(Health Sciences), 2009, 41(2): 125 -128 .
[2] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 310 -314 .
[3] . [J]. Journal of Peking University(Health Sciences), 2007, 39(3): 329 -332 .
[4] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 355 -360 .
[5] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 365 -368 .
[6] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 374 -376 .
[7] . [J]. Journal of Peking University(Health Sciences), 2007, 39(4): 434 -436 .
[8] . [J]. Journal of Peking University(Health Sciences), 2007, 39(5): 462 -466 .
[9] . [J]. Journal of Peking University(Health Sciences), 2001, 33(1): 23 -25 .
[10] . [J]. Journal of Peking University(Health Sciences), 2002, 34(1): 72 -75 .