Identification of New Drug Target in Staphylococcus lugdunensis by Subtractive Genomics Analysis and Their Inhibitors through Molecular Docking and Molecular Dynamic Simulation Studies

被引:2
|
作者
Alhamhoom, Yahya [1 ]
Hani, Umme [1 ]
Bennani, Fatima Ezzahra [2 ,3 ]
Rahman, Noor [4 ]
Rashid, Md Abdur [1 ]
Abbas, Muhammad Naseer [5 ]
Rastrelli, Luca [6 ]
机构
[1] King Khalid Univ, Coll Pharm, Dept Pharmaceut, Abha 62529, Saudi Arabia
[2] Mohammed V Univ Rabat, Fac Med & Pharm, Lab Pharmacol & Toxicol, Bio Pharmaceut & Toxicol Anal Res Team, BP6203, Rabat, Morocco
[3] Mohammed V Univ Rabat, Fac Med & Pharm, Lab Med Chem, BP6203, Rabat, Morocco
[4] Abdul Wali Khan Univ Mardan, Dept Biochem, Mardan 23200, Pakistan
[5] Kohat Univ Sci & Technol KUST, Dept Pharm, Kohat 26000, Pakistan
[6] Univ Salerno, Dipartimento Farm, Via Giovanni Paolo II, I-84084 Fisciano, Italy
来源
BIOENGINEERING-BASEL | 2022年 / 9卷 / 09期
关键词
drug targets; subtractive genomics; homology modeling; molecular docking; molecular dynamics simulation;
D O I
10.3390/bioengineering9090451
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Staphylococcus lugdunensis is a coagulase-negative, Gram-positive, and human pathogenic bacteria. S. lugdunensis is the causative agent of diseases, such as native and prosthetic valve endocarditis, meningitis, septic arthritis, skin abscesses, brain abscess, breast abscesses, spondylodiscitis, post-surgical wound infections, bacteremia, and peritonitis. S. lugdunensis displays resistance to beta-lactam antibiotics due to the production of beta-lactamases. This study aimed to identify potential novel essential, human non-homologous, and non-gut flora drug targets in the S. lugdunensis strain N920143, and to evaluate the potential inhibitors of drug targets. The method was concerned with a homology search between the host and the pathogen proteome. Various tools, including the DEG (database of essential genes) for the essentiality of proteins, the KEGG for pathways analysis, CELLO V.2.5 for cellular localization prediction, and the drug bank database for predicting the druggability potential of proteins, were used. Furthermore, a similarity search with gut flora proteins was performed. A DNA-binding response-regulator protein was identified as a novel drug target against the N920143 strain of S. lugdunensis. The three-dimensional structure of the drug target was modelled and validated with the help of online tools. Furthermore, ten thousand drug-like compounds were retrieved from the ZINC15 database. The molecular docking approach for the DNA-binding response-regulator protein identified ZINC000020192004 and ZINC000020530348 as the most favorable compounds to interact with the active site residues of the drug target. These two compounds were subjected to an MD simulation study. Our analysis revealed that the identified compounds revealed more stable behavior when bound to the drug target DNA-binding response-regulator protein than the apostate.
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页数:13
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