Identifying TMPRSS2 Inhibitors by Drug Repurposing Screenings of Known fXIa Inhibitors: A Computational Study

被引:0
|
作者
Liang, Yanshu [1 ]
Qiao, Zhixia [1 ]
Meng, Fancui [2 ]
机构
[1] Tianjin Univ Commerce, Sch Mech Engn, Tianjin 300134, Peoples R China
[2] Tianjin Inst Pharmaceut Res, State Key Lab Drug Delivery Technol & Pharmacokine, Tianjin 300301, Peoples R China
基金
中国国家自然科学基金;
关键词
TMPRSS2; SARS-CoV-2; inhibitor; molecular docking; molecular dynamics; MM/GBSA; ACCURATE DOCKING; INFLUENZA; TARGET; VIRUS; GLIDE;
D O I
10.2174/1570180820666221130160256
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Background: SARS-CoV-2 was reported to enter cells via binding to ACE2, followed by its priming by TMPRSS2. Hence the inhibition of TMPRSS2 may block or decrease the severity of SARS-CoV-2, making TMPRSS2 an attractive target for COVID-19. fXIa has a similar binding pocket as TMPRSS2, implying the possibility of fXIa inhibitors being TMPRSS2 inhibitors.Methods: In order to find potential TMPRSS2 inhibitors, molecular docking of known fXIa inhibitors was performed. Molecular dynamics simulations and MM/GBSA were conducted on representative compounds with characteristic binding modes. R-group enumeration was used to generate compounds with better binding interactions.Results: Three scaffolds can make hydrogen bonds with Gly439 and Ser441, and form the chloride-Tyr474 interactions at S1 pocket as well. Further structure optimization of one scaffold found that two compounds have better docking scores and lower binding free energies.Conclusion: Compounds R1a and R1b can be taken as potentially reversible inhibitors of TMPRSS2. Our results could provide insight into both the discovery and lead optimization of TMPRSS2 inhibitors.
引用
收藏
页码:590 / 601
页数:12
相关论文
共 50 条
  • [21] PK/PD investigation of antiviral host matriptase/TMPRSS2 inhibitors in cell models
    Gamba, David
    van Eijk, Nicholas
    Lanyi, Katalin
    Monostory, Katalin
    Steinmetzer, Torsten
    Marosi, Andras
    Racz, Anita
    Bajusz, David
    Kruhl, Diana
    Boettcher-Friebertshaeuser, Eva
    Paszti-Gere, Erzsebet
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [22] The Discovery of inhibitors of the SARS-CoV-2 S protein through computational drug repurposing
    Aviles-Alia, Ana Isabel
    Zulaica, Joao
    Perez, Juan J.
    -Martinez, Jaime Rubio
    Geller, Ron
    Granadino-Roldan, Jose M.
    COMPUTERS IN BIOLOGY AND MEDICINE, 2024, 171
  • [23] Computational Drug Repurposing for Antituberculosis Therapy: Discovery of Multi-Strain Inhibitors
    Kleandrova, Valeria V.
    Scotti, Marcus T.
    Speck-Planche, Alejandro
    ANTIBIOTICS-BASEL, 2021, 10 (08):
  • [24] Identification of Potential TMPRSS2 Inhibitors for COVID-19 Treatment in Chinese Medicine by Computational Approaches and Surface Plasmon Resonance Technology
    Yang, Rong
    Liu, Linhua
    Jiang, Dansheng
    Liu, Lei
    Yang, Huili
    Xu, Hongling
    Qin, Meirong
    Wang, Ping
    Gu, Jiangyong
    Xing, Yufeng
    JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2023, 63 (10) : 3005 - 3017
  • [25] VIRTUAL SCREENING FOR SARS-COV-2 ENTRY INHIBITORS BY DUAL TARGETING OF TMPRSS2 AND CTSL
    Virtucio, Ian Lemuel Sigue
    Punzalan, Jervee Malabanan
    Billones, Junie Barotil
    PHARMACOPHORE, 2023, 14 (01): : 9 - 18
  • [26] Identification of Inhibitors of the TMPRss2 and SPIKE Interaction Through Novel uHTS Assays and Molecular Docking
    Cicka, Danielle
    Ivanov, Andrey A.
    West, Sophie
    Fan, Dacheng
    Niu, Qiankun
    Du, Yuhong
    Fu, Haian
    JOURNAL OF PHARMACOLOGY AND EXPERIMENTAL THERAPEUTICS, 2023, 385
  • [27] Ligand-Based Design of Selective Peptidomimetic uPA and TMPRSS2 Inhibitors with Arg Bioisosteres
    Mueller, Patrick
    Zimmer, Collin
    Frey, Ariane
    Holzmann, Gideon
    Weldert, Annabelle Carolin
    Schirmeister, Tanja
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (03)
  • [28] Docking-generated multiple ligand poses for bootstrapping bioactivity classifying Machine Learning: Repurposing covalent inhibitors for COVID-19-related TMPRSS2 as case study
    Hatmal, Ma'mon M.
    Abuyaman, Omar
    Taha, Mutasem
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2021, 19 : 4790 - 4824
  • [29] Discovery of TMPRSS2 Inhibitors from Virtual Screening as a Potential Treatment of COVID-19
    Hu, Xin
    Shrimp, Jonathan H.
    Guo, Hui
    Xu, Miao
    Chen, Catherine Z.
    Zhu, Wei
    Zakharov, Alexey, V
    Jain, Sankalp
    Shinn, Paul
    Simeonov, Anton
    Hall, Matthew D.
    Shen, Min
    ACS PHARMACOLOGY & TRANSLATIONAL SCIENCE, 2021, 4 (03) : 1124 - 1135
  • [30] Drug repurposing and computational modeling for discovery of inhibitors of the main protease (Mpro) of SARS-CoV-2
    Silva, Jose Rogerio A.
    Kruger, Hendrik G.
    Molfetta, Fabio A.
    RSC ADVANCES, 2021, 11 (38) : 23450 - 23458