...
首页> 外文期刊>In Silico Pharmacology >Study of intra–inter species protein–protein interactions for potential drug targets identification and subsequent drug design for Escherichia coli O104:H4 C277-11
【24h】

Study of intra–inter species protein–protein interactions for potential drug targets identification and subsequent drug design for Escherichia coli O104:H4 C277-11

机译:种间蛋白间相互作用的研究,用于大肠杆菌 O104:H4 C277-11的潜在药物靶标鉴定和后续药物设计

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Abstract Protein–protein interaction (PPI) and host–pathogen interactions (HPI) proteomic analysis has been successfully practiced for potential drug target identification in pathogenic infections. In this research, we attempted to identify new drug target based on PPI and HPI computation approaches and subsequently design new drug against devastating enterohemorrhagic Escherichia coli O104:H4 C277-11 (Broad), which causes life-threatening food borne disease outbreak in Germany and other countries in Europe in 2011. Our systematic in silico analysis on PPI and HPI of E. coli O104:H4 was able to identify bacterial d-galactose-binding periplasmic and UDP-N-acetylglucosamine 1-carboxyvinyltransferase as attractive candidates for new drug targets. Furthermore, computational three-dimensional structure modeling and subsequent molecular docking finally proposed [3-(5-Amino-7-Hydroxy-[1,2,3]Triazolo[4,5-d]Pyrimidin-2-Yl)-N-(3,5-Dichlorobenzyl)-Benzamide)] and (6-amino-2-[(1-naphthylmethyl)amino]-3,7-dihydro-8H-imidazo[4,5-g]quinazolin-8-one) as promising candidate drugs for further evaluation and development for E. coli O104:H4 mediated diseases. Identification of new drug target would be of great utility for humanity as the demand for designing new drugs to fight infections is increasing due to the developing resistance and side effects of current treatments. This research provided the basis for computer aided drug design which might be useful for new drug target identification and subsequent drug design for other infectious organisms.
机译:摘要 蛋白质-蛋白质相互作用(PPI)和宿主-病原体相互作用(HPI)蛋白质组学分析已成功地用于病原体感染中潜在的药物靶标鉴定。在这项研究中,我们试图基于PPI和HPI计算方法来确定新的药物靶标,然后设计出针对破坏性肠出血性 Escherichia coli O104:H4 C277-11(广泛)的新药,在2011年导致德国和欧洲其他国家/地区爆发了威胁生命的食源性疾病。我们对 E的PPI和HPI进行了系统的计算机分析。大肠菌O104:H4能够鉴定细菌 d -半乳糖结合周质和UDP- N -乙酰氨基葡萄糖1 -羧基乙烯基转移酶作为新药靶标的诱人候选物。此外,计算三维结构建模和随后的分子对接最终提出了[3-(5-Amino-7-Hydroxy- [1,2,3] Triazolo [4,5- d ]嘧啶-2-Yl)-<加重类型=“ Italic”> N -(3,5-二氯苄基)-苯甲酰胺)]和(6-氨基-2-[(1-萘甲基)氨基] -3,7-dihydro-8 H -咪唑并[4,5-g]喹唑啉-8-one)作为有希望的候选药物,可以进一步评估和开发 E。 O104:H4介导的大肠埃希菌病。由于当前治疗方法产生的抗药性和副作用,对新药物靶标的确定对人类将具有很大的实用性,因为设计新的抗感染药物的需求正在增加。该研究为计算机辅助药物设计提供了基础,可能对新药靶标的识别以及其他传染性生物的后续药物设计有用。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号