Exploration of natural compounds against the human mpox virus DNA-dependent RNA polymerase in silico

被引:13
作者
Abduljalil, Jameel M. [1 ]
Elfiky, Abdo A. [2 ]
Elgohary, Alaa M. [2 ]
机构
[1] Thamar Univ, Fac Appl Sci, Dept Biol Sci, Dhamar, Yemen
[2] Cairo Univ, Fac Sci, Biophys Dept, Giza, Egypt
关键词
Mpox; DdRp; Natural compounds; Molecular dynamics simulation; Infectious diseases; MOLECULAR-DYNAMICS; MONKEYPOX; PROTEINS;
D O I
10.1016/j.jiph.2023.04.019
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Background: Last year, the human monkeypox virus (hMPXV) emerged as an alarming threat to the community, with a detectable outbreak outside the African continent for the first time. According to The American Centers for Disease Control and Prevention (CDC), the virus is reported globally, with 86,746 confirmed cases (until April 08, 2023). DNA-dependent RNA polymerase (DdRp) is an essential protein for viral replication; hence it is a promising drug target for developing antiviral drugs against DNA viruses. Therefore, this study was conducted to search for natural compounds that could provide scaffolds for RNA polymerase inhibitors. Methods: In this study, the DdRp structure of hMPXV was modeled and used to screen the natural compounds database (COCONUT). The virtual screening revealed 15 compounds able to tightly bind to the active site of the DdRp (binding energies less than -7.0 kcal/mol) compared to the physiological nucleotide, guanosine triphosphate (GTP). Molecular dynamics simulation was then performed on the top four hits and compared to GTP Results: The results revealed the potential of four compounds (comp289, comp295, comp441, and comp449) in binding the hMPXV DdRp active site with a comparable binding affinity (-17.06 +/- 2.96, -11.6 +/- 5.34, -14.85 +/- 2.66, and -10.79 +/- 4.49 kcal/mol) with GTP (-21.03 +/- 7.55 kcal/mol) Conclusion: These findings may also pave the way for developing new hMPXV inhibitors based on natural product scaffolds. These results need further experimental validation but promising as it was validated by unbiased all-atom MD simulations and binding free energy calculations. (c) 2023 The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:996 / 1003
页数:8
相关论文
共 43 条
[11]   MolProbity: all-atom contacts and structure validation for proteins and nucleic acids [J].
Davis, Ian W. ;
Leaver-Fay, Andrew ;
Chen, Vincent B. ;
Block, Jeremy N. ;
Kapral, Gary J. ;
Wang, Xueyi ;
Murray, Laura W. ;
Arendall, W. Bryan, III ;
Snoeyink, Jack ;
Richardson, Jane S. ;
Richardson, David C. .
NUCLEIC ACIDS RESEARCH, 2007, 35 :W375-W383
[12]   Approved Antiviral Drugs over the Past 50 Years [J].
De Clercq, Erik ;
Li, Guangdi .
CLINICAL MICROBIOLOGY REVIEWS, 2016, 29 (03) :695-747
[13]   AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python']Python Bindings [J].
Eberhardt, Jerome ;
Santos-Martins, Diogo ;
Tillack, Andreas F. ;
Forli, Stefano .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2021, 61 (08) :3891-3898
[14]   Artemisia abrotanum L. (Southern Wormwood)-History, Current Knowledge on the Chemistry, Biological Activity, Traditional Use and Possible New Pharmaceutical and Cosmetological Applications [J].
Ekiert, Halina ;
Knut, Ewa ;
swiatkowska, Joanna ;
Klin, Pawel ;
Rzepiela, Agnieszka ;
Tomczyk, Michal ;
Szopa, Agnieszka .
MOLECULES, 2021, 26 (09)
[15]   H++:: a server for estimating pKas and adding missing hydrogens to macromolecules [J].
Gordon, JC ;
Myers, JB ;
Folta, T ;
Shoja, V ;
Heath, LS ;
Onufriev, A .
NUCLEIC ACIDS RESEARCH, 2005, 33 :W368-W371
[16]   Structural basis of the complete poxvirus transcription initiation process [J].
Grimm, Clemens ;
Bartuli, Julia ;
Boettcher, Bettina ;
Szalay, Aladar A. ;
Fischer, Utz .
NATURE STRUCTURAL & MOLECULAR BIOLOGY, 2021, 28 (10) :779-+
[17]   Structural Basis of Poxvirus Transcription: Transcribing and Capping Vaccinia Complexes [J].
Hillen, Hauke S. ;
Bartuli, Julia ;
Grimm, Clemens ;
Dienemann, Christian ;
Bedenk, Kristina ;
Szalay, Aladar A. ;
Fischer, Utz ;
Cramer, Patrick .
CELL, 2019, 179 (07) :1525-+
[18]   DeepPurpose: a deep learning library for drug-target interaction prediction [J].
Huang, Kexin ;
Fu, Tianfan ;
Glass, Lucas M. ;
Zitnik, Marinka ;
Xiao, Cao ;
Sun, Jimeng .
BIOINFORMATICS, 2020, 36 (22-23) :5545-5547
[19]  
Isaacs SN, 2016, POXVIRUSES CLIN VIRO, P385, DOI [10.1128/9781555819439.CH19, DOI 10.1128/9781555819439.CH19]
[20]  
Landrum G., 2006, RDKIT OPEN SOURCE CH