Identification of Potential Inhibitors of PDE5 based on Structure-based Virtual Screening Approaches

被引:1
|
作者
Xu, Lei [1 ,6 ,7 ]
Sun, Lilei [2 ]
Su, Peng [3 ]
Ma, Teng [4 ]
Yu, Yingcong [5 ]
Liu, Haibin [1 ,6 ,7 ]
Huang, Xianfeng [1 ,6 ,7 ]
机构
[1] Jiangsu Univ Technol, Inst Bioinformat & Med Engn, Changzhou 213001, Peoples R China
[2] Weifang Second Peoples Hosp, Dept Radiol, Weifang 261041, Peoples R China
[3] Soochow Univ, Affiliated Hosp 2, Dept Orthoped, Suzhou 215004, Peoples R China
[4] Weifang Peoples Hosp, Dept Thyroid & Breast Surg, Weifang 261000, Peoples R China
[5] Wenzhou Med Univ, Wenzhou Peoples Hosp, Clin Inst, Wenzhou 2325099, Peoples R China
[6] Dong E E Jiao Co Ltd, Shandong Technol Innovat Ctr Gelatin Based Tradit, Liaocheng 252201, Peoples R China
[7] Changzhou Univ, Sch Pharmaceut Engn & Life Sci, Changzhou 213164, Peoples R China
基金
中国国家自然科学基金;
关键词
PDE5; inhibitors; natural compounds; pharmacophore model; virtual screening; molecular docking; molecular dynamics simulation; ERECTILE-DYSFUNCTION; NATURAL-PRODUCTS; ADMET EVALUATION; MOUSE MODEL; PERFORMANCE; PROTEIN; PHOSPHODIESTERASE-5; PREDICTION; MM/GBSA; MM/PBSA;
D O I
10.2174/1573409919666221208143327
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Background Phosphodiesterase type 5 (PDE5), exclusively specific for cyclic guanidine monophosphate (cGMP), a potential target for the therapy of various diseases, and PDE5 inhibitors could be used as a treatment for erectile dysfunction (ED) or chronic pulmonary hypertension. Objective In the present study, we carried out an integrated computer-aided virtual screening technique against the natural products in the ZINC database to discover potential inhibitors of PDE5. Methods Pharmacophore, molecular docking and ADMET (Absorption, distribution, metabolism, excretion and toxicity) properties filtration were used to select the PDE5 inhibitors with the best binding affinities and drug-like properties. The binding modes of PDE5 inhibitors were investigated, and these complexes' stabilities were explored by molecular dynamic simulations and MM/GBSA free energy calculations. Results Two natural compounds (Z171 and Z283) were identified and may be used as a critical starting point for the development of novel PDE5 inhibitors. The MM/GBSA free energy decomposition analysis quantitatively analyzed the importance of hydrophobic interaction in PDE5-ligands binding. Conclusion In this study, we identified two novel natural compounds from the ZINC database to effectively inhibit PDE5 through virtual screening. The novel scaffolds of these compounds can be used as the starting templates in the drug design of PDE5 inhibitors with good pharmacokinetic profiles. These results may promote the de novo design of new compounds against PDE5.
引用
收藏
页码:234 / 242
页数:9
相关论文
共 50 条
  • [31] Identification of potential non-nucleoside MraY inhibitors for tuberculosis chemotherapy using structure-based virtual screening
    Pandey, Pankaj
    Chatterjee, Shamba
    Berida, Tomayo
    Doerksen, Robert J.
    Roy, Sudeshna
    [J]. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS, 2022, 40 (11): : 4832 - 4849
  • [32] Structure-based virtual screening for identification of potential CDC20 inhibitors and their therapeutic evaluation in breast cancer
    Das, Amiya
    Sharma, Hitesh Kumar
    Lather, Viney
    Pandita, Deepti
    Agarwal, Pallavi
    [J]. 3 BIOTECH, 2023, 13 (05)
  • [33] Identification of Novel Falcipain-2 Inhibitors as Potential Antimalarial Agents through Structure-Based Virtual Screening
    Li, Honglin
    Huang, Jin
    Chen, Lili
    Liu, Xiaofeng
    Chen, Tong
    Zhu, Jin
    Lu, Weiqiang
    Shen, Xu
    Li, Jian
    Hilgenfeld, Rolf
    Jiang, Hualiang
    [J]. JOURNAL OF MEDICINAL CHEMISTRY, 2009, 52 (15) : 4936 - 4940
  • [34] Identification of novel Trypanosoma cruzi prolyl oligopeptidase inhibitors by structure-based virtual screening
    de Almeida, Hugo
    Leroux, Vincent
    Motta, Flavia Nader
    Grellier, Philippe
    Maigret, Bernard
    Santana, Jaime M.
    Dourado Bastos, Izabela Marques
    [J]. JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN, 2016, 30 (12) : 1165 - 1174
  • [35] Identification of Plk1 type II inhibitors by structure-based virtual screening
    S Keppner
    E Proschak
    G Schneider
    B Spänkuch
    [J]. Chemistry Central Journal, 3 (Suppl 1)
  • [36] Identification of Novel Inhibitors of UDP-Galactopyranose Mutase by Structure-Based Virtual Screening
    Partha, Sarathy Karunan
    Sadeghi-Khomami, Ali
    Cren, Sylvaine
    Robinson, Richard I.
    Woodward, Simon
    Slowski, Kate
    Berast, Lindsey
    Zheng, Blake
    Thomas, Neil R.
    Sanders, David A. R.
    [J]. MOLECULAR INFORMATICS, 2011, 30 (10) : 873 - 883
  • [37] Identification of Inhibitors of the Tyrosine Kinase c-Met by Structure-Based Virtual Screening
    Lemcke, Thomas
    Dreher, Jan
    Rarey, Matthias
    Totzke, Frank
    Schaechtele, Christoph
    Kubbutat, Michael H. G.
    Kunick, Conrad
    [J]. MOLECULAR INFORMATICS, 2011, 30 (2-3) : 145 - 150
  • [38] Structure-based virtual screening for identification of novel 11β-HSD1 inhibitors
    Yang, Huaiyu
    Shen, Yu
    Chen, Junhua
    Jiang, Qunfeng
    Leng, Ying
    Shen, Jianhua
    [J]. EUROPEAN JOURNAL OF MEDICINAL CHEMISTRY, 2009, 44 (03) : 1167 - 1171
  • [39] Identification of diverse dipeptidyl peptidase IV inhibitors via structure-based virtual screening
    Cui Li
    Weiqiang Lu
    Chunhua Lu
    Wen Xiao
    Xu Shen
    Jin Huang
    Guixia Liu
    Yun Tang
    [J]. Journal of Molecular Modeling, 2012, 18 : 4033 - 4042
  • [40] Identification of novel Trypanosoma cruzi prolyl oligopeptidase inhibitors by structure-based virtual screening
    Hugo de Almeida
    Vincent Leroux
    Flávia Nader Motta
    Philippe Grellier
    Bernard Maigret
    Jaime M. Santana
    Izabela Marques Dourado Bastos
    [J]. Journal of Computer-Aided Molecular Design, 2016, 30 : 1165 - 1174