Potential Ebola drug targets - filling the gap: a critical step forward towards the design and discovery of potential drugs

被引:15
作者
Balmith, Marissa [1 ]
Soliman, Mahmoud E. S. [1 ]
机构
[1] Univ KwaZulu Natal, Sch Hlth Sci, Mol Modeling & Drug Design Res Grp, Westville Campus, ZA-4001 Durban, South Africa
基金
新加坡国家研究基金会;
关键词
Ebola virus; biological targets; computer aided drug design; active site residues; homology modeling; BINDING-SITE PREDICTION; MATRIX PROTEIN VP40; VIRUS INFECTION; HUMAN FURIN; LIFE-CYCLE; IDENTIFICATION; GLYCOPROTEIN; INHIBITORS; DOCKING; VP24;
D O I
10.1515/biolog-2017-0012
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Among the classified neglected infectious diseases, the Ebola virus (EboV) remains a challenging epidemic. This deadly virus has been reported as a category A bioweapon organism by the World Health Organization due to the serious threat it poses. To date, Ebola drug discovery proves challenging. Proteins need to be targeted at the relevant biologically active site for drug or inhibitor binding to be effective. Due to insufficient experimental data to confirm the biologically active binding site for novel protein targets, researchers often rely on computational prediction methods to identify binding sites. Many computational studies have attempted to identify the biological active site for EboV proteins, however, the methods employed are not sufficiently validated. This has prompted us to provide a comprehensive molecular understanding of the various targets of the EboV, including three-dimensional structures, active site identification and further validation. Herein we report the account of a three-dimensional homology model of the unresolved EboV RNA-dependent RNA polymerase (RdRp), as well as a comprehensive analysis of the binding site residues of all proteins of the EboV. Docking-aided active site determination was carried out to identify possible active sites on the homology model of RdRp. Binding free energy calculations revealed subtle differences in the binding at each site. These results can also provide some potential clues for further design of novel inhibitors to treat this killer virus and is a critical cornerstone of research into the EboV.
引用
收藏
页码:1 / 13
页数:13
相关论文
共 75 条
[1]   Combining docking and molecular dynamic simulations in drug design [J].
Alonso, Hernan ;
Bliznyuk, Andrey A. ;
Gready, Jill E. .
MEDICINAL RESEARCH REVIEWS, 2006, 26 (05) :531-568
[2]   The process of structure-based drug design [J].
Anderson, AC .
CHEMISTRY & BIOLOGY, 2003, 10 (09) :787-797
[3]  
Arodola Olayide A, 2015, Drug Des Devel Ther, V9, P6055, DOI 10.2147/DDDT.S87653
[4]   Modeling protein-ligand complexes [J].
Bamborough, P ;
Cohen, FE .
CURRENT OPINION IN STRUCTURAL BIOLOGY, 1996, 6 (02) :236-241
[5]  
Bishop AOT, 2008, S AFR J SCI, V104, P2
[6]   Ebola virus glycoprotein 1: Identification of residues important for binding and postbinding events [J].
Brindley, Melinda A. ;
Hughes, Laura ;
Ruiz, Autumn ;
McCray, Paul B., Jr. ;
Sanchez, Anthony ;
Sanders, David A. ;
Maury, Wendy .
JOURNAL OF VIROLOGY, 2007, 81 (14) :7702-7709
[7]   Predicting Protein Ligand Binding Sites by Combining Evolutionary Sequence Conservation and 3D Structure [J].
Capra, John A. ;
Laskowski, Roman A. ;
Thornton, Janet M. ;
Singh, Mona ;
Funkhouser, Thomas A. .
PLOS COMPUTATIONAL BIOLOGY, 2009, 5 (12)
[8]   Per-residue energy decomposition pharmacophore model to enhance virtual screening in drug discovery: a study for identification of reverse transcriptase inhibitors as potential anti-HIV agents [J].
Cele, Favourite N. ;
Ramesh, Muthusamy ;
Soliman, Mahmoud E. S. .
DRUG DESIGN DEVELOPMENT AND THERAPY, 2016, 10 :1365-1377
[10]   Ebola: translational science considerations [J].
Chiappelli, Francesco ;
Bakhordarian, Andre ;
Thames, April D. ;
Du, Angela M. ;
Jan, Allison L. ;
Nahcivan, Melissa ;
Nguyen, Mia T. ;
Sama, Nateli ;
Manfrini, Ercolano ;
Piva, Francesco ;
Rocha, Rafael Malagoli ;
Maida, Carl A. .
JOURNAL OF TRANSLATIONAL MEDICINE, 2015, 13