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Bhowmick S, AlFaris NA, Zaidan ALTamimi J, ALOthman ZA, Patil PC, Aldayel TS, Wabaidur SM, Saha A. Identification of bio-active food compounds as potential SARS-CoV-2 PLpro inhibitors-modulators via negative image-based screening and computational simulations. Comput Biol Med 2022; 145:105474. [PMID: 35395517 PMCID: PMC8973019 DOI: 10.1016/j.compbiomed.2022.105474] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 03/10/2022] [Accepted: 03/29/2022] [Indexed: 12/16/2022]
Abstract
Despite significant studies on the COVID-19 pandemic, scientists around the world are still battling to find a definitive therapy against the ongoing severe global health crisis. In this study, advanced computational approaches have been employed to identify bioactive food constituents as potential SARS-CoV-2 PLpro inhibitors-modulators. As a validated antiviral drug target, PLpro has gained tremendous attention for therapeutics developments. Therefore, targeting the multifunctional SARS-CoV-2 PLpro protein, ∼1039 bioactive dietary compounds have been screened extensively through novel techniques like negative image-based (NIB) screening and molecular docking approaches. In particular, the three different models of NIB screening have been generated and used to re-score the dietary compounds based on the negative image which is created by reversing the shape and electrostatics features of PLpro protein's ligand-binding cavity. Further, 100 ns molecular dynamics simulation has been performed and MM-GBSA based binding free energies have been estimated for the final proposed four dietary compounds (PC000550, PC000361, PC000558, and PC000573) as potential inhibitors/modulators of SARS-CoV-2 PLpro protein. Employed computational study outcome also has been compared with respect to the earlier experimentally investigated compound GRL0617 against SARS-CoV-2 PLpro protein, which suggests much greater interaction potential in terms of binding affinity and other energetic contributions for the proposed dietary compounds. Hence, the present study suggests that proposed dietary compounds can be suitable chemical entities for modulating the activity of PLpro protein or can be further utilized for optimizing or screening of novel chemical surrogates, however also needs experimental evaluation for entry in clinical studies for better assessment.
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Affiliation(s)
- Shovonlal Bhowmick
- Department of Chemical Technology, University of Calcutta, 92 A.P.C. Road, Kolkata, India
| | - Nora Abdullah AlFaris
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia,Corresponding author
| | - Jozaa Zaidan ALTamimi
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | - Zeid A. ALOthman
- Chemistry Department, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Pritee Chunarkar Patil
- Department of Bioinformatics, Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth Deemed University, Pune-Satara Road, Pune, India
| | - Tahany Saleh Aldayel
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia
| | | | - Achintya Saha
- Department of Chemical Technology, University of Calcutta, 92 A.P.C. Road, Kolkata, India,Corresponding author
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Tian R, Li Y, Wang X, Li J, Li Y, Bei S, Li H. A Pharmacoinformatics Analysis of Artemisinin Targets and de novo Design of Hits for Treating Ulcerative Colitis. Front Pharmacol 2022; 13:843043. [PMID: 35370688 PMCID: PMC8971781 DOI: 10.3389/fphar.2022.843043] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 02/14/2022] [Indexed: 11/13/2022] Open
Abstract
Ulcerative colitis (UC), as an intractably treated disease, seriously affects the quality of life of patients and has an increase in terms of incidence and prevalence annually. However, due to the lack of a direct etiology and drug-induced side effects, the medical treatment of UC falls into a bottleneck. There are many natural phytochemicals with the potential to regulate immune function in nature. Herein, a potential mechanism of artemisinin in the treatment of UC and potential druggability compounds with an artemisinin peroxide bond were discussed and predicted based on computer-aided drug design (CADD) technology by using the methods of network pharmacology, molecular docking, de novo drug structure design and molecular dynamics through the integration of artemisinin related targets from TCMSP, ChEMBL and HERB databases. The networks were constructed based on 50 artemisinin-disease intersection targets related to inflammation, cytokines, proliferation and apoptosis, showing the importance of GALNT2, BMP7 and TGFBR2 in the treatment of disease, which may be due to the occupation of the ricin B-type lectin domain of GALNT2 by artemisinin compounds or de novo designed candidates. This result could guide the direction of experiments and actual case studies in the future. This study provides a new route for the application of artemisinin and the development of drugs.
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Affiliation(s)
- Rui Tian
- Department of Anoenterology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yufei Li
- Department of Anoenterology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaofeng Wang
- Department of Anoenterology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jiajun Li
- Department of Anoenterology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yingqian Li
- Department of Anoenterology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Shaosheng Bei
- Department of Anoenterology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Shaosheng Bei, ; Huashan Li,
| | - Huashan Li
- Department of Anoenterology, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Shaosheng Bei, ; Huashan Li,
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Bhowmick S, Saha A, AlFaris NA, ALTamimi JZ, ALOthman ZA, Aldayel TS, Wabaidur SM, Islam MA. Identification of potent food constituents as SARS-CoV-2 papain-like protease modulators through advanced pharmacoinformatics approaches. J Mol Graph Model 2021; 111:108113. [PMID: 34959151 PMCID: PMC8688376 DOI: 10.1016/j.jmgm.2021.108113] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Revised: 12/05/2021] [Accepted: 12/18/2021] [Indexed: 12/15/2022]
Abstract
The current ongoing pandemic of COVID-19 urges immediate treatment measures for controlling the highly contagious SARS-CoV-2 infections. The papain-like protease (PLpro), which is released from nsp3, is presently being evaluated as a significant anti-viral drug target for COVID-19 therapy development. Particularly, PLpro is implicated in the cleavage of viral polyproteins and antagonizes the host innate immune response through its deubiquitinating and deISGylating actions, thus making it a high-profile antiviral therapeutic target. The present study reports a few specific food compounds that can bind tightly with the SARS-CoV-2 PLpro protein identified through extensive computational screening techniques. Precisely, extensive advanced computational approaches combining target-based virtual screening, particularly employing sub-structure based similarity search, molecular docking, molecular dynamics (MD) simulations, and MM-GBSA based binding free energy calculations have been employed for the identification of the most promising food compounds with substantial functional implications as SARS-CoV-2 PLpro protein inhibitors/modulators. Observations from the present research investigation also provide a deeper understanding of the binding modes of the proposed four food compounds with SARS-CoV-2 PLpro protein. In docking analyses, all compounds have established essential inter-molecular interaction profiles at the active site cavity of the SARS-CoV-2 PLpro protein. Similarly, the long-range 100 ns conventional MD simulation studies also provided an in-depth understanding of probable interactions and dynamic behaviour of the SARS-CoV-2 PLpro protein-food compound complexes. Binding free energies of all molecular systems revealed a strong interaction affinity of food compounds towards the SARS-CoV-2 PLpro protein. Moreover, clear-cut comparative analyses against the known standard inhibitor also suggest that proposed food compounds may act as potential active chemical entities for modulating the action of the SARS-CoV-2 PLpro protein.
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Affiliation(s)
- Shovonlal Bhowmick
- Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India
| | - Achintya Saha
- Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India.
| | - Nora Abdullah AlFaris
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Jozaa Zaidan ALTamimi
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Zeid A ALOthman
- Department of Chemistry, P.O. Box 2455, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Tahany Saleh Aldayel
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah bint Abdulrahman University, P. O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Saikh Mohammad Wabaidur
- Department of Chemistry, P.O. Box 2455, College of Science, King Saud University, Riyadh, 11451, Saudi Arabia
| | - Md Ataul Islam
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom.
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Chávez-Hernández AL, Juárez-Mercado KE, Saldívar-González FI, Medina-Franco JL. Towards the De Novo Design of HIV-1 Protease Inhibitors Based on Natural Products. Biomolecules 2021; 11:biom11121805. [PMID: 34944448 PMCID: PMC8698858 DOI: 10.3390/biom11121805] [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: 11/05/2021] [Revised: 11/22/2021] [Accepted: 11/29/2021] [Indexed: 01/14/2023] Open
Abstract
Acquired immunodeficiency syndrome (AIDS) caused by the human immunodeficiency virus (HIV) continues to be a public health problem. In 2020, 680,000 people died from HIV-related causes, and 1.5 million people were infected. Antiretrovirals are a way to control HIV infection but not to cure AIDS. As such, effective treatment must be developed to control AIDS. Developing a drug is not an easy task, and there is an enormous amount of work and economic resources invested. For this reason, it is highly convenient to employ computer-aided drug design methods, which can help generate and identify novel molecules. Using the de novo design, novel molecules can be developed using fragments as building blocks. In this work, we develop a virtual focused compound library of HIV-1 viral protease inhibitors from natural product fragments. Natural products are characterized by a large diversity of functional groups, many sp3 atoms, and chiral centers. Pseudo-natural products are a combination of natural products fragments that keep the desired structural characteristics from different natural products. An interactive version of chemical space visualization of virtual compounds focused on HIV-1 viral protease inhibitors from natural product fragments is freely available in the supplementary material.
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Bhowmick S, Saha A, AlFaris NA, ALTamimi JZ, ALOthman ZA, Aldayel TS, Wabaidur SM, Islam MA. Structure-based identification of galectin-1 selective modulators in dietary food polyphenols: a pharmacoinformatics approach. Mol Divers 2021; 26:1697-1714. [PMID: 34482478 PMCID: PMC9209356 DOI: 10.1007/s11030-021-10297-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 08/12/2021] [Indexed: 11/29/2022]
Abstract
Abstract In this study, a set of dietary polyphenols was comprehensively studied for the selective identification of the potential inhibitors/modulators for galectin-1. Galectin-1 is a potent prognostic indicator of tumor progression and a highly regarded therapeutic target for various pathological conditions. This indicator is composed of a highly conserved carbohydrate recognition domain (CRD) that accounts for the binding affinity of β-galactosides. Although some small molecules have been identified as galectin-1 inhibitors/modulators, there are limited studies on the identification of novel compounds against this attractive therapeutic target. The extensive computational techniques include potential drug binding site recognition on galectin-1, binding affinity predictions of ~ 500 polyphenols, molecular docking, and dynamic simulations of galectin-1 with selective dietary polyphenol modulators, followed by the estimation of binding free energy for the identification of dietary polyphenol-based galectin-1 modulators. Initially, a deep neural network-based algorithm was utilized for the prediction of the druggable binding site and binding affinity. Thereafter, the intermolecular interactions of the polyphenol compounds with galectin-1 were critically explored through the extra-precision docking technique. Further, the stability of the interaction was evaluated through the conventional atomistic 100 ns dynamic simulation study. The docking analyses indicated the high interaction affinity of different amino acids at the CRD region of galectin-1 with the proposed five polyphenols. Strong and consistent interaction stability was suggested from the simulation trajectories of the selected dietary polyphenol under the dynamic conditions. Also, the conserved residue (His44, Asn46, Arg48, Val59, Asn61, Trp68, Glu71, and Arg73) associations suggest high affinity and selectivity of polyphenols toward galectin-1 protein. Graphic Abstract ![]()
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Affiliation(s)
- Shovonlal Bhowmick
- Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India
| | - Achintya Saha
- Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata, 700009, India.
| | - Nora Abdullah AlFaris
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Jozaa Zaidan ALTamimi
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Zeid A ALOthman
- Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Tahany Saleh Aldayel
- Nutrition and Food Science, Department of Physical Sport Science, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
| | - Saikh Mohammad Wabaidur
- Department of Chemistry, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Md Ataul Islam
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester, M13 9PL, UK. .,Department of Chemical Pathology, Faculty of Health Sciences, University of Pretoria and National Health Laboratory Service Tshwane Academic Division, Pretoria, South Africa.
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Shakya A, Chikhale RV, Bhat HR, Alasmary FA, Almutairi TM, Ghosh SK, Alhajri HM, Alissa SA, Nagar S, Islam MA. Pharmacoinformatics-based identification of transmembrane protease serine-2 inhibitors from Morus Alba as SARS-CoV-2 cell entry inhibitors. Mol Divers 2021; 26:265-278. [PMID: 33786727 PMCID: PMC8009078 DOI: 10.1007/s11030-021-10209-3] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 03/10/2021] [Indexed: 12/23/2022]
Abstract
Transmembrane protease serine-2 (TMPRSS2) is a cell-surface protein expressed by epithelial cells of specific tissues including those in the aerodigestive tract. It helps the entry of novel coronavirus (n-CoV) or Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in the host cell. Successful inhibition of the TMPRSS2 can be one of the crucial strategies to stop the SARS-CoV-2 infection. In the present study, a set of bioactive molecules from Morus alba Linn. were screened against the TMPRSS2 through two widely used molecular docking engines such as Autodock vina and Glide. Molecules having a higher binding affinity toward the TMPRSS2 compared to Camostat and Ambroxol were considered for in-silico pharmacokinetic analyses. Based on acceptable pharmacokinetic parameters and drug-likeness, finally, five molecules were found to be important for the TMPRSS2 inhibition. A number of bonding interactions in terms of hydrogen bond and hydrophobic interactions were observed between the proposed molecules and ligand-interacting amino acids of the TMPRSS2. The dynamic behavior and stability of best-docked complex between TRMPRSS2 and proposed molecules were assessed through molecular dynamics (MD) simulation. Several parameters from MD simulation have suggested the stability between the protein and ligands. Binding free energy of each molecule calculated through MM-GBSA approach from the MD simulation trajectory suggested strong affection toward the TMPRSS2. Hence, proposed molecules might be crucial chemical components for the TMPRSS2 inhibition.
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Affiliation(s)
- Anshul Shakya
- Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam, 786 004, India
| | - Rupesh V Chikhale
- School of Pharmacy, University of East Anglia, Norwich Research Park, Norwich, NR5 7TJ, UK
| | - Hans Raj Bhat
- Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam, 786 004, India
| | - Fatmah Ali Alasmary
- Chemistry Department, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Tahani Mazyad Almutairi
- Chemistry Department, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Surajit Kumar Ghosh
- Department of Pharmaceutical Sciences, Faculty of Science and Engineering, Dibrugarh University, Dibrugarh, Assam, 786 004, India
| | - Hassna Mohammed Alhajri
- Chemistry Department, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia
| | - Siham A Alissa
- Department of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, 11671, Saudi Arabia
| | - Shuchi Nagar
- Bioinformatics Research Centre, Dr. D. Y. Patil Biotechnology & Bioinformatics Institute, Dr. D. Y. Patil Vidyapeeth, Tathawade, Pune, India
| | - Md Ataul Islam
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. .,School of Health Sciences, University of Kwazulu-Natal, Westville Campus, Durban, South Africa. .,Department of Chemical Pathology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.
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Kalbhor MS, Bhowmick S, Alanazi AM, Patil PC, Islam MA. Multi-step molecular docking and dynamics simulation-based screening of large antiviral specific chemical libraries for identification of Nipah virus glycoprotein inhibitors. Biophys Chem 2020; 270:106537. [PMID: 33450550 DOI: 10.1016/j.bpc.2020.106537] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/22/2020] [Accepted: 12/25/2020] [Indexed: 02/06/2023]
Abstract
Nipah virus (NiV) infections are highly contagious and can cause severe febrile encephalitis. An outbreak of NiV infection has reported high mortality rates in Southeast Asian countries including Bangladesh, East Timor, Malaysia, Papua New Guinea, Vietnam, Cambodia, Indonesia, Madagascar, Philippines, Thailand and India. Considering the high risk for an epidemic outbreak, the World Health Organization (WHO) declared NiV as an emerging priority pathogen. However, there are no effective therapeutics or any FDA approved drugs available for the treatment of this infection. Among the known nine proteins of NiV, glycoprotein plays an important role in initiating the entry of viruses and attaching to the host cell receptors. Herein, three antiviral databases consisting of 79,892 chemical entities have been computationally screened against NiV glycoprotein (NiV-G). Particularly, multi-step molecular docking followed by extensive molecular binding interactions analyses, binding free energy estimation, in silico pharmacokinetics, synthetic accessibility and toxicity profile evaluations have been carried out for initial identification of potential NiV-G inhibitors. Further, molecular dynamics (MD) simulation has been performed to understand the dynamic properties of NiV-G protein-bound with proposed five inhibitors (G1-G5) and their interactions behavior, and any conformational changes in NiV-G protein during simulations. Moreover, Molecular Mechanics Poisson-Boltzmann Surface Area (MM-PBSA) based binding free energies (∆G) has been calculated from all MD simulation trajectories to understand the energy contribution of each proposed compound in maintaining and stabilizing the complex binding interactions with NiV-G protein. Proposed compounds showed high negative ∆G values ranging from -166.246 to -226.652 kJ/mol indicating a strong affinity towards the NiV-G protein.
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Affiliation(s)
- Malti Sanjay Kalbhor
- Department of Bioinformatics, Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth Deemed University, Pune-Satara Road, Pune, India
| | - Shovonlal Bhowmick
- Department of Chemical Technology, University of Calcutta, 92, A.P.C. Road, Kolkata 700009, India
| | - Amer M Alanazi
- Pharmaceutical Chemistry Department, College of Pharmacy, King Saud University, Riyadh 11451, Saudi Arabia
| | - Pritee Chunarkar Patil
- Department of Bioinformatics, Rajiv Gandhi Institute of IT and Biotechnology, Bharati Vidyapeeth Deemed University, Pune-Satara Road, Pune, India
| | - Md Ataul Islam
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Oxford Road, Manchester M13 9PL, United Kingdom; School of Health Sciences, University of Kwazulu-Natal, Westville Campus, Durban, South Africa; Department of Chemical Pathology, Faculty of Health Sciences, University of Pretoria and National Health Laboratory Service Tshwane Academic Division, Pretoria, South Africa.
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