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Sajid Jamal QM, Alharbi AH, Ahmad V. Identification of doxorubicin as a potential therapeutic against SARS-CoV-2 (COVID-19) protease: a molecular docking and dynamics simulation studies. J Biomol Struct Dyn 2022; 40:7960-7974. [PMID: 33826483 PMCID: PMC8043163 DOI: 10.1080/07391102.2021.1905551] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 03/15/2021] [Indexed: 02/08/2023]
Abstract
After one year, the COVID-19 pandemic caused by SARS-CoV-2 is still the largest concern for the scientific community. Of the many recognized drug targets of SARS-CoV-2, the main protease is one of the most important target due to its function in viral replication. We conducted an in silico study with repurposing drugs of antibiotics class against virus protease and peptidase using AutoDock tool. The following significant binding energy interaction was observed with protease (PDB: 6LU7) like piperacillin -7.25; tobramycin -9.20 and doxorubicin (Doxo) -10.04 kcal/mol and with peptidase (PDB: 2GTB) piperacillin -7.08; tobramycin -8.54 and Doxo -9.89 kcal/mol. Furthermore, the interaction and stability behavior of the Doxo-protease and Doxo-peptidase complexes were analyzed for a 100-nanosecond (ns) time. Calculated RMSD values observed using molecular dynamics simulation (MDS) were found to be 0.15-0.25 nm, RMSF calculation per residues showed a value near 0.2 nm and Rg values remained approximately 2.25 nm. MM-PBSA analysis of total binding energy calculation of Doxo-protease and Doxo-peptidase complexes are found to be -148.692 and -105.367 kJ/mol, respectively. Moreover, amino acid residue ASP-197 showed the lowest contribution binding energy i.e. -18.1185 kJ/mol, and amino acid residue ASP-187 showed -17.0267 kJ/mol contribution energy. Thus, significant docking interaction and stable dynamicity of Doxo-protease complex with time was suggested that Doxo could be a choice to inhibit potentially the viral proteases that could prevent the entry inside the host cell to control the COVID-19 disease. Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Qazi Mohammad Sajid Jamal
- Department of Health Informatics, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah, Saudi Arabia
| | - Ali H. Alharbi
- Department of Health Informatics, College of Public Health and Health Informatics, Qassim University, Al Bukayriyah, Saudi Arabia
| | - Varish Ahmad
- Health Information Technology Department, Faculty of Applied Studies, King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia
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Dhasmana A, Dhasmana A, H HY, Farasani A, Habibullah M, Alshammary FL, Khan S, Haque S, Lohani M. Tobacco Smoke Carcinogens Induce DNA Repair Machinery Function Loss: Protection by Carbon Nanotubes. Asian Pac J Cancer Prev 2020; 21:3099-3108. [PMID: 33112573 PMCID: PMC7798159 DOI: 10.31557/apjcp.2020.21.10.3099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 10/22/2020] [Indexed: 11/25/2022] Open
Abstract
PURPOSE DNA damage is a continuous process occurring within the cells caused by intrinsic and extrinsic factors, but it gets repaired regularly. If the DNA repair process is faulty, the incidences of damages/mutations can accumulate in cells resulting in cell transformation. It is hypothesized that the negative variations in DNA repair pathways in even at one point viz. genetic, translational or posttranslational stage may fairly be crucial for the beginning and development of carcinogenesis. Therefore, we investigated the potential of tobacco specific nitrosamines (TSNs) related carcinogens to interact with the enzymes involved in DNA repair mechanisms in the current study. METHODS The derivatives of cigarettes' smoke like NNK and NNAL are very well known and recognized carcinogens. Therefore, almost 120 enzymes playing crucial role in the DNA repair process have been analysed for their reactivity with NNK and NNAL. RESULTS The molecular docking study helped to screen out, 07 possible DNA repair enzyme targets for NNK, and 12for NNAL. Present study revealed the loss of activity of DNA repair enzymes in the presence of NNK and NNAL, and this accumulation may induce the tendency of DNA damage which can lead the transformation of exposed normal cells in to cancerous cells. This study also demonstrated the protective potential of nanoparticles like SWCNTs/MWCNTs against TSN's induced toxicity; here SWCNT against NNK (-17.16 Kcal/Mol) and MWCNT against NNK -17.01 Kcal/Mol were showing maximum binding affinities than the known biomolecular target of NNK 1UGH (Uracil-DNA glycosylase,-7.82Kcal/Mol). CONCLUSION CNTs can be applied as chemo-preventive agents against environmental and tobacco induced carcinogens owing to their scavenging potential and warrants for in vivo and in vitro experimental validation of the results obtained from the present study. .
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Affiliation(s)
- Anukriti Dhasmana
- Himalayan School of Biosciences, Swami Rama Himalayan University, Dehradun (Uttarakhand), India.
| | - Anupam Dhasmana
- Himalayan School of Biosciences, Swami Rama Himalayan University, Dehradun (Uttarakhand), India.
- University of Texas Rio Grande Valley, McAllen, United States of America.
| | - Hobani Yahya H
- Dean, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
| | - Abdullah Farasani
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
| | - Mahmoud Habibullah
- Emergency Medical Services Department, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
| | - Freah L Alshammary
- Department of Preventative Dental Sciences, College of Dentistry, Hail University, Hail, Saudi Arabia.
| | - Saif Khan
- Department of Preventative Dental Sciences, College of Dentistry, Hail University, Hail, Saudi Arabia.
| | - Shafiul Haque
- Research and Scientific Studies Unit, Faculty of Nursing and Allied Health Sciences, Jazan University, Jazan, Saudi Arabia.
| | - Mohtashim Lohani
- Emergency Medical Services Department, Faculty of Applied Medical Sciences, Jazan University, Jazan, Saudi Arabia.
- Medical Research centre, Faculty of Applied Medical Sciences, Jazan University, Jazan, KSA.
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Investigation of Precise Molecular Mechanistic Action of Tobacco-Associated Carcinogen `NNK´ Induced Carcinogenesis: A System Biology Approach. Genes (Basel) 2019; 10:genes10080564. [PMID: 31357510 PMCID: PMC6723528 DOI: 10.3390/genes10080564] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 07/22/2019] [Accepted: 07/24/2019] [Indexed: 12/21/2022] Open
Abstract
Cancer is the second deadliest disease listed by the WHO. One of the major causes of cancer disease is tobacco and consumption possibly due to its main component, 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK). A plethora of studies have been conducted in the past aiming to decipher the association of NNK with other diseases. However, it is strongly linked with cancer development. Despite these studies, a clear molecular mechanism and the impact of NNK on various system-level networks is not known. In the present study, system biology tools were employed to understand the key regulatory mechanisms and the perturbations that will happen in the cellular processes due to NNK. To investigate the system level influence of the carcinogen, NNK rewired protein–protein interaction network (PPIN) was generated from 544 reported proteins drawn out from 1317 articles retrieved from PubMed. The noise was removed from PPIN by the method of modulation. Gene ontology (GO) enrichment was performed on the seed proteins extracted from various modules to find the most affected pathways by the genes/proteins. For the modulation, Molecular COmplex DEtection (MCODE) was used to generate 19 modules containing 115 seed proteins. Further, scrutiny of the targeted biomolecules was done by the graph theory and molecular docking. GO enrichment analysis revealed that mostly cell cycle regulatory proteins were affected by NNK.
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Ansari MY, Ahsan MJ, Yasmin S, Sahoo GC, Saini V, Das P. In silico identification of novel antagonists and binding insights by structural and functional analyses of guanylate kinase of Leishmania donovani and interaction with inhibitors. GENE REPORTS 2017. [DOI: 10.1016/j.genrep.2017.07.003] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Mahato JP, Rana S, Kumar M, Sarsaiya S. Homology Modeling of Leishmania donovani Enolase and its Molecular Interaction with Novel Inhibitors. J Pharm Bioallied Sci 2017; 9:99-105. [PMID: 28717332 PMCID: PMC5508423 DOI: 10.4103/jpbs.jpbs_241_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Introduction: The treatment of Indian tropical disease such as kala-azar is likely to be troublesome to the clinicians as AmpB- and miltefosine-resistant Leishmania donovani has been reported. The rationale behind designed a novel inhibitors of model of L. donovani enolase and performing a binding study with its inhibitors to gain details of the interaction between protein residues and ligand molecules. Methods and Materials: The L. donovani enolase model consists of two typical domains. The N-terminal one contains three-stranded antiparallel β-sheets, followed by six α-helices. The C-terminal domain composes of eleven-stranded mixed α/β-barrel with connectivity. The first α-helix within the C-terminal domain, H7, and the second β-strand, S7, of the barrel domain was arranged in an antiparallel fashion compared to all other α-helices and β-strands. The root-mean-square deviation between predicted model and template is 0.4 Å. The overall conformation of L. donovani enolase model is similar to those of Trypanosoma cruzi enolase and Streptococcus pneumoniae enolase crystal structures. Result: The key amino acid residues within the docking complex model involved in the interaction between model enolase structure and ligand molecule are Lys70, Asn165, Ala168, Asp17, and Asn213. Conclusion: Our theoretical prediction may lead to the establishment of prophylactic and therapeutic approaches for the treatment of kala-azar. This biomedical informatics analysis will help us to combat future kala-azar.
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Affiliation(s)
- Jay Prakash Mahato
- Department of Biotechnology, Sri Satya Sai University of Technology and Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Sindhuprava Rana
- Department of Biotechnology, Sri Satya Sai University of Technology and Medical Sciences, Bhopal, Madhya Pradesh, India
| | - Maneesh Kumar
- Department of Biotechnology, College of Commerce, Arts and Science (Magadh University, Bodh Gaya), Patna, Bihar, India
| | - Surendra Sarsaiya
- Department of Biotechnology, College of Commerce, Arts and Science (Magadh University, Bodh Gaya), Patna, Bihar, India
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Ansari MY, Equbal A, Dikhit MR, Mansuri R, Rana S, Ali V, Sahoo GC, Das P. Establishment of correlation between in-silico and in-vitro test analysis against Leishmania HGPRT to inhibitors. Int J Biol Macromol 2015; 83:78-96. [PMID: 26616453 DOI: 10.1016/j.ijbiomac.2015.11.051] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Revised: 11/13/2015] [Accepted: 11/18/2015] [Indexed: 10/22/2022]
Abstract
Hypoxanthine Phosphoribosyltransferase (HGPRT; EC 2.4.2.8) is a central enzyme in the purine recycling pathway of all protozoan parasites. Protozoan parasites cannot synthesize purine bases (DNA/RNA) which is essential for survival as lack of de-novo pathway. Thus its good target for drug design and discovery as inhibition leads to cessation of replication. PRTase (transferase enzyme) has common PRTase type I folding pattern domain for its activities. Genomic studies revealed the sequence pattern and identified highly conserved residues that catalyzed the reaction in protozoan parasites. A recombinant protein has 24 kDa molecular mass (rLdHGPRT) was cloned, expressed and purified for testing of guanosine monophosphate (GMP) analogous compounds in-vitro by spectroscopically to the rLdHGPRT, lysates protein and MTT assay on Leishmania donovani. The predicted inhibitors of different libraries were screen into FlexX. The reported inhibitors were tested in-vitro. The 2'-deoxyguanosine 5'-diphosphate (DGD) (IC50 value 12.5 μM) is two times more effective when compared to guanosine-5'-diphosphate sodium (GD). Interestingly, LdHGPRT complex has shown stable after 24 ns in molecular dynamics simulation with interacting amino acids are Glu125, Ile127, Lys87 and Val186. QSAR studies revealed the correlation between predicted and experimental values has shown R2 0.998. Concludes that inversely proportional to their docked score with activities.
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Affiliation(s)
- Md Yousuf Ansari
- Pharmacoinformatics Department, National Institute of Pharmaceutical Education and Research (NIPER), Hajipur 844102, India; BioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences, Agam Kuan, Patna 800007, India
| | - Asif Equbal
- Biochemistry Department, Rajendra Memorial Research Institute of Medical Sciences, Agam Kuan, Patna 800007, India
| | - Manas Ranjan Dikhit
- BioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences, Agam Kuan, Patna 800007, India
| | - Rani Mansuri
- Pharmacoinformatics Department, National Institute of Pharmaceutical Education and Research (NIPER), Hajipur 844102, India; BioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences, Agam Kuan, Patna 800007, India
| | - Sindhuprava Rana
- BioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences, Agam Kuan, Patna 800007, India
| | - Vahab Ali
- Biochemistry Department, Rajendra Memorial Research Institute of Medical Sciences, Agam Kuan, Patna 800007, India
| | - Ganesh Chandra Sahoo
- BioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences, Agam Kuan, Patna 800007, India.
| | - Pradeep Das
- Pharmacoinformatics Department, National Institute of Pharmaceutical Education and Research (NIPER), Hajipur 844102, India; BioMedical Informatics Division, Rajendra Memorial Research Institute of Medical Sciences, Agam Kuan, Patna 800007, India
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