Virtual Screening for the Identification of Potential Candidate Molecules Against Envelope (E) and Membrane (M) Proteins of SARS-CoV-2

被引:5
|
作者
Alibakhshi, Abbas [1 ]
Ranjbar, Mohammad Mehdi [2 ]
Javanmard, Shaghayegh Haghjooy [3 ]
Yarian, Fatemeh [1 ,4 ]
Ahangarzadeh, Shahrzad [5 ]
机构
[1] Shahid Beheshti Univ Med Sci, Sch Adv Technol Med, Dept Biotechnol, Tehran, Iran
[2] Agr Res Educ & Extens Org AREEO, Razi Vaccine & Serum Res Inst, Karaj, Iran
[3] Isfahan Univ Med Sci, Appl Physiol Res Ctr, Cardiovasc Res Inst, Dept Physiol, Esfahan, Iran
[4] Shahid Beheshti Univ Med Sci, Cellular & Mol Biol Res Ctr, Tehran, Iran
[5] Isfahan Univ Med Sci, Infect Dis & Trop Med Res Ctr, Esfahan, Iran
来源
关键词
SARS-CoV-2; Covid-19; membrane protein; envelope protein; virtual screening; ACCURACY; DOCKING;
D O I
10.1142/S2737416521500083
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) causes COVID-19, a disease currently spreading around the world. Some drugs are underway or being used to combat this disease. Several proteins of the virus can be targeted in therapeutic approaches. Two structural proteins, membrane (M), envelope (E) have critical roles in virus life cycle, such as assembly, budding, envelope formation and pathogenesis. Here, we employed the in silico strategies to identify and evaluate the selected potential compounds against M and E proteins. For this, the structures of proteins were modeled and then several groups of compounds as FDA approved, natural products or under clinical trials were screened from DrugBank and ZINC databases. The selected dockings were analyzed and the ligands with best binding affinity scores were subjected to evaluate drug-likeness and medicinal chemistry friendliness through prediction of ADMET properties. Normal mode analyses were also performed for six selected complexes to explore the collective motions of proteins. Molecular dynamic (MD) simulation was also performed to calculate the stability of two docked protein-ligand complexes. The results revealed that several compounds had high affinity to the proteins along with some acceptable profiles of mobility and deformability, especially, for M protein. The aim of this study was finding the potential compounds with inhibitory effect on membrane and envelope proteins of SARS-CoV-2 and according to the results several compounds especially some FDA-approved drugs and natural compounds shown that can be applied as hit compounds against these structural proteins of the virus.
引用
收藏
页码:209 / 224
页数:16
相关论文
共 50 条
  • [41] SARS-CoV-2 envelope protein and its relationship to the membrane protein
    Kandler, Luise
    Kippes, Oliver
    Edich, Maximilian
    Stab, Sabrina
    Santoni, Gianluca
    Thorn, Andrea
    CRYSTALLOGRAPHY REVIEWS, 2023, 29 (03) : 124 - 146
  • [42] Membrane Condensation and Curvature Induced by SARS-CoV-2 Envelope Protein
    Woelk, Christian
    Shen, Chen
    Hause, Gerd
    Surya, Wahyu
    Torres, Jaume
    Harvey, Richard D.
    Bello, Gianluca
    LANGMUIR, 2024, 40 (05) : 2646 - 2655
  • [43] Identification of RdRp inhibitors against SARS-CoV-2 through E-pharmacophore-based virtual screening, molecular docking and MD simulations approaches
    Rehman, Hafiz Muzzammel
    Sajjad, Muhammad
    Ali, Muhammad Akhtar
    Gul, Roquyya
    Naveed, Muhammad
    Aslam, Muhammad Shahbaz
    Shinwari, Khyber
    Bhinder, Munir Ahmad
    Ghani, Muhammad Usman
    Saleem, Mahjabeen
    Rather, Mohd Ashraf
    Ahmad, Ishtiyaq
    Amin, Adnan
    INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES, 2023, 237
  • [44] Structure-Based Virtual Screening and Functional Validation of Potential Hit Molecules Targeting the SARS-CoV-2 Main Protease
    Moovarkumudalvan, Balasubramanian
    Geethakumari, Anupriya Madhukumar
    Ramadoss, Ramya
    Biswas, Kabir H. H.
    Mifsud, Borbala
    BIOMOLECULES, 2022, 12 (12)
  • [45] Developing inhibitory peptides against SARS-CoV-2 envelope protein
    Bekdash, Ramsey
    Yoshida, Kazushige
    Nair, Manoj S.
    Qiu, Lauren
    Ahdout, Johnathan
    Tsai, Hsiang-Yi
    Uryu, Kunihiro
    Soni, Rajesh K.
    Huang, Yaoxing
    Ho, David D.
    Yazawa, Masayuki
    PLOS BIOLOGY, 2024, 22 (03)
  • [46] A Review on Screening Models for Potential Therapeutic Candidates and Targets Against SARS-CoV-2
    Das, Mohana
    Kumar, Manish
    Jha, Abhishek
    Madhukiran, D. R.
    Bharti, Kanchan
    Mondal, Shomedeep
    Mishra, Brahmeshwar
    CURRENT DRUG TARGETS, 2021, 22 (11) : 1232 - 1254
  • [47] In silico screening of potential antiviral inhibitors against SARS-CoV-2 main protease
    Palanisamy, Kandhan
    Maiyelvaganan, K. Rudharachari
    Kamalakannan, Shanmugasundaram
    Thilagavathi, Ramasamy
    Selvam, Chelliah
    Prakash, Muthuramalingam
    MOLECULAR SIMULATION, 2023, 49 (02) : 175 - 185
  • [48] In Silico Virtual Screening of Marine Aldehyde Derivatives from Seaweeds against SARS-CoV-2
    Kang, Nalae
    Heo, Seong-Yeong
    Cha, Seon-Heui
    Ahn, Ginnae
    Heo, Soo-Jin
    MARINE DRUGS, 2022, 20 (06)
  • [49] Identification of Novel SARS-CoV-2 Inhibitors: A Structure-Based Virtual Screening Approach
    El Aissouq, Abdellah
    Chedadi, Oussama
    Bouachrine, Mohammed
    Ouammou, Abdelkrim
    JOURNAL OF CHEMISTRY, 2021, 2021
  • [50] Identification of a Potential mRNA-based Vaccine Candidate against the SARS-CoV-2 Spike Glycoprotein: A Reverse Vaccinology Approach
    Durojaye, Olanrewaju Ayodeji
    Sedzro, Divine Mensah
    Idris, Mukhtar Oluwaseun
    Yekeen, Abeeb Abiodun
    Fadahunsi, Adeola Abraham
    Alakanse, Oluwaseun Suleiman
    CHEMISTRYSELECT, 2022, 7 (07):