β -内酰胺酶与抑制剂的分子建模和对接分析:一项比较研究。

Q2 Medicine
Mohd Danishuddin, Asad U Khan
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引用次数: 8

摘要

β-内酰胺酶是一种细菌酶,它能抵抗β-内酰胺类抗生素。CTX-Ms是靶向头孢菌素类抗生素(如头孢噻肟和头孢他啶)的β-内酰胺酶,而SME-1、KPC-2、IMI-1和SFC-1靶向碳青霉烯类抗生素。克拉维酸、舒巴坦和他唑巴坦是传统的β-内酰胺酶抑制剂,而LN1-255和NXL-104是新型抑制剂,可以抑制这些酶的活性。研究这些药物的结合模式有助于预测β -内酰胺酶的多功能抑制剂。本研究的目的是:描述CTX-M(从本研究的blaCTX-M基因建模)和上述碳青霉烯酶与各自的靶药物和抑制剂的相互作用模式,并基于适应度评分对传统和新型β-内酰胺酶抑制剂的疗效进行计算机比较。从社区获得性尿路感染大肠杆菌的质粒DNA中扩增出blaCTX-M标记物。大肠杆菌C600细胞携带克隆的blaCTX-M,经双盘协同试验发现其产生广谱β-内酰胺酶(ESBL)阳性。利用Swiss Model Server对CTX-M-15、SME-1和IMI-1的三维结构进行预测。选择的结构与抑制剂之间的相互作用通过GOLD 5.0进行。根据对接评分和结合模式,我们得出结论,与克拉维酸、舒巴坦和NXL-104相比,化合物LN1-255和他唑巴坦是对所有选定目标酶的最佳抑制剂。五个保守的氨基酸,Ser70, Ser130, Lys235, Thr236和Gly237在通过氢键和疏水相互作用稳定配合物中起关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Molecular modeling and docking analysis of beta-lactamases with inhibitors: a comparative study.

Beta-lactamases are bacterial enzymes which impart resistance against β-lactam-antibiotics. CTX-Ms are the β-lactamases that target cephalosporin antibiotics (e.g. cefotaxime and ceftazidime) while SME-1, KPC-2, IMI-1 and SFC-1 target carbapenems. Clavulanic acid, sulbactam and tazobactam are traditional β-lactamase inhibitors while LN1-255 and NXL-104 whereas novel inhibitors, inhibiting the activity of these enzymes. Studying the binding pattern of these drugs is helpful in predicting the versatile inhibitors for betalactamases. The aims of the study were: describing the mode of interaction of CTX-M (modeled from the blaCTX-M gene of this study) and the said carbapenemases with their respective target drugs and inhibitors and to perform an in silico comparison of the efficacies of traditional and novel β-lactamase-inhibitors based on fitness score. The blaCTX-M marker was PCR-amplified from plasmid DNA of E. coli strain isolated from community-acquired urinary tract infection. E. coli C600 cells (harboring cloned blaCTX-M) were found positive for extended-spectrum-β-lactamase (ESBL) production by the double-disk-synergy test. The three dimensional structures of CTX-M-15, SME-1 and IMI-1 were predicted by Swiss Model Server. The interaction between selected structures and inhibitors was performed by GOLD 5.0. On the basis of the docking score and binding pattern, we conclude that compound LN1-255 followed by tazobactam is best inhibitor against all the selected target enzymes as compared to clavulanate, sulbactam and NXL-104. Five conserved amino acids, Ser70, Ser130, Lys235, Thr236 and Gly237 were found crucial in stabilizing the complexes through hydrogen bonding and hydrophobic interactions.

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来源期刊
In Silico Biology
In Silico Biology Computer Science-Computational Theory and Mathematics
CiteScore
2.20
自引率
0.00%
发文量
1
期刊介绍: The considerable "algorithmic complexity" of biological systems requires a huge amount of detailed information for their complete description. Although far from being complete, the overwhelming quantity of small pieces of information gathered for all kind of biological systems at the molecular and cellular level requires computational tools to be adequately stored and interpreted. Interpretation of data means to abstract them as much as allowed to provide a systematic, an integrative view of biology. Most of the presently available scientific journals focus either on accumulating more data from elaborate experimental approaches, or on presenting new algorithms for the interpretation of these data. Both approaches are meritorious.
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