In silico ADMET and molecular docking study on searching potential inhibitors from limonoids and triterpenoids for COVID-19

被引:165
|
作者
Vardhan, Seshu [1 ]
Sahoo, Suban K. [1 ]
机构
[1] SV Natl Inst Technol SVNIT, Dept Appl Chem, Surat 395007, Gujarat, India
关键词
Coronavirus; COVID-19; Molecular docking; ADMET; Limonoids; Triterpenoids; RESPIRATORY SYNDROME-CORONAVIRUS; PAPAIN-LIKE PROTEASE; ACID; LIMONIN; DOMAIN; FRUITS;
D O I
10.1016/j.compbiomed.2020.103936
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Virtual screening of phytochemicals was performed through molecular docking, simulations, in silico ADMET and drug-likeness prediction to identify the potential hits that can inhibit the effects of SARS-CoV-2. Considering the published literature on medicinal importance, 154 phytochemicals with analogous structure from limonoids and triterpenoids were selected to search potential inhibitors for the five therapeutic protein targets of SARS-CoV-2, i. e., 3CLpro (main protease), PLpro (papain-like protease), SGp-RBD (spike glycoprotein-receptor binding domain), RdRp (RNA dependent RNA polymerase) and ACE2 (angiotensin-converting enzyme 2). The in silico computational results revealed that the phytochemicals such as glycyrrhizic acid, limonin, 7-deacetyl-7-benzoylgedunin, maslinic acid, corosolic acid, obacunone and ursolic acid were found to be effective against the target proteins of SARS-CoV-2. The protein-ligand interaction study revealed that these phytochemicals bind with the amino acid residues at the active site of the target proteins. Therefore, the core structure of these potential hits can be used for further lead optimization to design drugs for SARS-CoV-2. Also, the medicinal plants containing these phytochemicals like licorice, neem, tulsi, citrus and olives can be used to formulate suitable therapeutic approaches in traditional medicines.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] In silico discovery of multi-targeting inhibitors for the COVID-19 treatment by molecular docking, molecular dynamics simulation studies, and ADMET predictions
    Hasan, Aso Hameed
    Hussen, Narmin Hamaamin
    Shakya, Sonam
    Jamalis, Joazaizulfazli
    Pratama, Mohammad Rizki Fadhil
    Chander, Subhash
    Kharkwal, Harsha
    Murugesan, Sankaranarayanan
    STRUCTURAL CHEMISTRY, 2022, 33 (05) : 1645 - 1665
  • [2] In silico discovery of multi-targeting inhibitors for the COVID-19 treatment by molecular docking, molecular dynamics simulation studies, and ADMET predictions
    Aso Hameed Hasan
    Narmin Hamaamin Hussen
    Sonam Shakya
    Joazaizulfazli Jamalis
    Mohammad Rizki Fadhil Pratama
    Subhash Chander
    Harsha Kharkwal
    Sankaranarayanan Murugesan
    Structural Chemistry, 2022, 33 : 1645 - 1665
  • [3] Synthesis and molecular docking study of novel COVID-19 inhibitors
    Dercek, Zuhal
    Ceyhan, Deniz
    Ercag, Erol
    TURKISH JOURNAL OF CHEMISTRY, 2021, 45 (03) : 704 - 718
  • [4] Molecular Docking and In Silico ADMET Study Reveals Flavonoids as a Potential Inhibitor of Aromatase
    Shah, Umang
    Patel, Samir
    Patel, Mehul
    Upadhayay, Jagat
    LETTERS IN DRUG DESIGN & DISCOVERY, 2017, 14 (11) : 1267 - 1276
  • [5] MOLECULAR DOCKING STUDY REVEALS THE POTENTIAL REPURPOSING OF HISTONE DEACETYLASE INHIBITORS AGAINST COVID-19
    Mohamed, Mamdouh F. A.
    Abuo-Rahma, Gamal El-Din A.
    Hayallah, Alaa M.
    Aziz, Marwa A.
    Nafady, Ayman
    Samir, Ebtihal
    INTERNATIONAL JOURNAL OF PHARMACEUTICAL SCIENCES AND RESEARCH, 2020, 11 (09): : 4261 - 4270
  • [6] Molecular docking unveils the potential of andrographolide derivatives against COVID-19: an in silico approach
    Veerasamy, Ravichandran
    Karunakaran, Rohini
    JOURNAL OF GENETIC ENGINEERING AND BIOTECHNOLOGY, 2022, 20 (01):
  • [7] Molecular docking unveils the potential of andrographolide derivatives against COVID-19: an in silico approach
    Ravichandran Veerasamy
    Rohini Karunakaran
    Journal of Genetic Engineering and Biotechnology, 20
  • [8] Screening of potential inhibitors of COVID-19 with repurposing approach via molecular docking
    Alizadehmohajer, Negin
    Behmardi, Abtin
    Najafgholian, Simin
    Moradi, Shabnam
    Mohammadi, Forogh
    Nedaeinia, Reza
    Haghjooy Javanmard, Shaghayegh
    Sohrabi, Ehsan
    Salehi, Rasoul
    Ferns, Gordon A.
    Emami Nejad, Asieh
    Manian, Mostafa
    NETWORK MODELING AND ANALYSIS IN HEALTH INFORMATICS AND BIOINFORMATICS, 2022, 11 (01):
  • [9] Screening of potential inhibitors of COVID-19 with repurposing approach via molecular docking
    Negin Alizadehmohajer
    Abtin Behmardi
    Simin Najafgholian
    Shabnam Moradi
    Forogh Mohammadi
    Reza Nedaeinia
    Shaghayegh Haghjooy Javanmard
    Ehsan Sohrabi
    Rasoul Salehi
    Gordon A. Ferns
    Asieh Emami Nejad
    Mostafa Manian
    Network Modeling Analysis in Health Informatics and Bioinformatics, 2022, 11
  • [10] Antibacterial, Anticandidal, and Antibiofilm Potential of Fenchone: In Vitro, Molecular Docking and In Silico/ADMET Study
    Ahmad, Wasim
    Ansari, Mohammad Azam
    Yusuf, Mohammad
    Amir, Mohd
    Wahab, Shadma
    Alam, Prawez
    Alomary, Mohammad N.
    Alhuwayri, Abdulrahman A.
    Khan, Maria
    Ali, Abuzer
    Warsi, Musarrat Husain
    Ashraf, Kamran
    Ali, Maksood
    PLANTS-BASEL, 2022, 11 (18):