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1.
肺癌的表皮生长因子受体分子靶向治疗与基因突变   总被引:1,自引:0,他引:1  
肺癌分子靶向治疗近年来取得较大进展,特别是针对表皮生长因子受体(EGFR)分子靶向药物表现出确定的临床效果。临床应用表明,EGFR基因酪氨酸激酶域体细胞突变与非小细胞肺癌患者对酪氨酸激酶抑制剂吉非替尼的敏感性相关,本文就相关的研究进行了简述。  相似文献   

2.
表皮生长因子受体   总被引:8,自引:0,他引:8  
表皮生长因子受体(EGFR)是一种具有酪氨酸激酶活性的膜表面受体,其胞内区的3个亚区是其发挥酪氨酸激酶活性、介导信号转导的关键部位。表皮生长因子受体和其他的erbB受体可形成同源和异源的多种二聚体,不同的二聚体与表皮生长因子受体的6种配体形成的不同组合可将不同的细胞外刺激传入胞内。表皮生长因子可激活多种下游信号路径,产生多种生物学效应,ras-raf-MEK-erk/MAPK途径与增殖的激活有关,PI3K-PKC-IKK途径与细胞移动性的增强有关。表皮生长因子受体与肿瘤的发生发展和器官的修复有密切的关系,针对表皮生长因子受体的肿瘤治疗和器官修复具有良好的应用前景。  相似文献   

3.
EGFR主要由三个结构区域组成,即EGF结合区域、跨膜区域和依赖EGF蛋白激酶区域。EGFR被激活后,不仅能使许多底物蛋白磷酸化,自身也发生磷酸化,这些磷酸化作用在信息传导中有重要作用。EGFR与EGF结合后,其复合体以胞饮方式内容形成受体小体,除部分被降解外,大部分在高尔基GERL区加工后到达细胞核调节基因表达。本文通过对受体激活模型和用体外遗传变异方法对变异EGFR的研究阐述了EGFR的结构与功能的关系。  相似文献   

4.
为筛选表皮生长因子受体(epidermalgrowthfactorreceptor,EGFR)调控的鼻咽癌(nasopharyngealcarcinoma,NPC)细胞的分泌蛋白质,揭示EGFR在NPC发病中的作用机制,采用无血清培养法培养NPC细胞系CNE2,并用转化生长因子(transforminggrowthfactor-α,TGF-α)刺激CNE2细胞24h作为实验组,对照组CNE2细胞不用TGF-α刺激.超滤法脱盐并浓缩两组细胞的培养上清制备分泌蛋白,采用双向凝胶电泳技术(two-dimensionalelectrophoresis,2-DE)分离两组细胞的分泌蛋白,PDquest图像分析软件识别差异表达的蛋白质点,基质辅助激光解吸电离飞行时间质谱(matrix-assistedlaserdesorption/ionizationtimeofflightmassspectrometry,MALDI-TOF-MS)鉴定差异表达蛋白.建立了实验组和对照组CNE2细胞分泌蛋白的2-DE图谱,图像分析识别了22个差异蛋白质点,质谱鉴定了8个非冗余蛋白质,其功能涉及肿瘤细胞侵袭转移、细胞凋亡和增殖,为进一步揭示EGFR在NPC发病中的作用及其机制奠定了基础.  相似文献   

5.
阿霉素肾病大鼠表皮生长因子及其受体的表达   总被引:2,自引:0,他引:2  
目的研究阿霉素肾病大鼠肾组织中表皮生长因子(EGF)及其受体EGFR的表达分布以及表达量与尿蛋白之间关系。方法选择第5天、14天、28天作为动态观察的时点,同期设立正常对照。采用荧光定量RT-PCR、免疫组织化学及计算机图像定量分析EGF mRNA以及EGF、EGFR蛋白在肾组织的表达,同时测定24 h尿蛋白定量。WT1和EGFR双重免疫组化确定EGFR在肾小球内确切细胞定位。结果阿霉素注射后第5天,EGFmRNA即较正常增高,28 d明显增高并高于5 d和14 d。正常对照组EGF阳性细胞主要分布于远曲小管和髓袢,阿霉素组EGF还在集合管和近曲小管上表达;EGF阳性表达范围和强度随尿蛋白增加而增加;EGFmRNA表达量以及EGF在肾小管中的表达强度与24 h尿蛋白量呈正相关。肾小管上皮细胞广泛表达EGFR,阿霉素组EGFR在小管表达均高于正常,但组间各时点差异无显著性;随尿蛋白增加EGFR在肾小球内表达逐渐增多。EGFR在肾小球和肾小管中的表达强度均与24 h尿蛋白量呈正相关。WT1和EGFR双重免疫组化显示阿霉素肾病组EGFR可在足突细胞上表达,正常组则无。结论阿霉素肾病大鼠的肾小球脏层上皮有EGFR的表达。EGF/EGFR可能参与了阿霉素肾病的发病过程以及蛋白尿的形成。  相似文献   

6.
取花背蟾蜍(Bufo raddei)363、7、38、39期蝌蚪肺组织和幼蟾肺组织,进行常规石蜡切片,用免疫组化SP两步法检测EGFR的表达。观察了表皮生长因子受体(EGFR)在花背蟾蜍胎肺发育过程的表达特征,并探讨表皮生长因子(EGF)和转化生长因子α(TGF-α)通过与EGFR的作用,对花背蟾蜍胎肺形态发生和肺泡上皮成熟分化的作用。结果表明,36期,EGFR在肺网状隔膜上皮细胞处有表达;37期,肺网状隔膜处EGFR阳性表达很明显,在肺泡囊处表达呈弱阳性;38期,肺网状隔膜处EGFR的阳性表达变弱,在远端的肺泡囊上皮细胞处其阳性表达增强;39期,EGFR在肺泡囊上皮细胞处阳性表达最活跃,在网状隔膜处EGFR的表达很弱;幼蟾期,EGFR阳性反应主要定位在肺泡上皮细胞。结论是,在胎肺发育的不同时期,EGFR在上皮细胞的定位有迁移,免疫组化反应强弱也有差异,说明EGFR在胎肺不同发育阶段发挥不同的功能,它对肺泡上皮细胞的成熟分化有重要调节作用。  相似文献   

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本文用受体的放射性配基结合分析方法观察了C_3H小鼠胚胎成纤维细胞C_3H_(10)T1/2 CL8(简称NC_3H_(10))和~3H-TdR恶性转化的C_3H_(10)T1/2CL8(简称TC_3H_(10))的表皮生长因子受体(EGFR)。结果表明细胞恶性转化前后的EGFR都存在高亲和力和低亲和力两种结合位点,细胞恶性转化后能结合表皮生长因子的EGFR结合位点减少,Western blotting和受体的亲和交联分析表明EGFR的分子量为170kD,是单链多肽。  相似文献   

9.
目的:研究表皮生长因子(Epidermal Growth Factor,EGF)及受体(Epidermal Growth Factor Receptor,EGFR)及在甲状腺肿瘤中的表达。方法:应用免疫组织化学法检测91例甲状腺病变组织中EGFR和EGF的表达情况。结果:结节性甲状腺肿、甲状腺腺瘤、分化型甲状腺癌标本中EGFR表达的阳性率分别为15%、25%、68.62%,EGF表达的阳性率分别为10%、15%、68.62%,其中EGFR、EGF在分化型甲状腺癌与其余两组间差异均有统计学意义(P<0.05)。EGFR和EGF在甲状腺乳头状癌中的表达与性别、年龄、肿瘤大小、淋巴结转移、临床分期等临床因素无明显相关。结论:EGF和EGFR的表达可作为鉴别甲状腺肿瘤良恶性的一个指标。  相似文献   

10.
建立了一种从胎盘合胞体滋养层微绒毛膜蛋白中简单迅速两步纯化 EGFR 蛋 白的方法.用 Triton X-100 抽提微绒毛膜蛋白,使之两次通过 FPLC(Fast Pro-tein Liquid Chromatography)系统的 Superose 6 色谱柱纯化.SDS 胶电泳后,得到单一的 170000分子量 EGFR 蛋白带.纯化后的受体在 EGF,MnCl2 和 (γ-32P)ATP 条件下,仍然保留胞内所具有的对 EGF 敏感的使受体自身磷酸化的蛋白激酶活性.  相似文献   

11.
聚羟基脂肪酸(PHA)颗粒表面结合蛋白Pha P具有与疏水性高分子材料表面紧密结合的能力,本研究将EGFR靶向多肽(ETP)与PhaP进行融合表达,构建了ETP-PhaP融合蛋白表达的重组工程菌Escherichia coli BL21(DE3)(pPI-ETP-P)。经对工程菌株的诱导表达及ETP-PhaP融合蛋白的纯化后,通过PhaP蛋白介导能够有效地将ETP-PhaP融合蛋白修饰于3-羟基丁酸-3-羟基己酸共聚酯(PHBHHx)纳米微球表面,构建成为具有EGFR靶向作用的药物递送载体。分别检测宫颈癌细胞系SiHa(EGFR高表达)和CaSKi(EGFR低表达)对ETP-PhaP修饰的PHBHHx纳米药物载体和未经修饰的纳米药物载体的吞噬情况。结果显示,纯化的ETP-PhaP融合蛋白能够很好地吸附于PHBHHx颗粒的表面,经ETP-PhaP融合蛋白修饰的PHBHHx纳米药物载体对EGFR高表达的宫颈癌Si Ha细胞的靶向效果强于EGFR低表达的CaSKi细胞系。这一结果表明了PhaP介导的PHBHHx纳米微球表面EGFR靶向多肽修饰具有简便、高效的优势,为疏水性纳米药物载体表面功能多肽修饰提供了一种新策略。  相似文献   

12.
Automated docking of substrates to proteins by simulated annealing   总被引:13,自引:0,他引:13  
D S Goodsell  A J Olson 《Proteins》1990,8(3):195-202
The Metropolis technique of conformation searching is combined with rapid energy evaluation using molecular affinity potentials to give an efficient procedure for docking substrates to macromolecules of known structure. The procedure works well on a number of crystallographic test systems, functionally reproducing the observed binding modes of several substrates.  相似文献   

13.
    
Glutamate carboxypeptidase II (GCPII), also known as prostate specific membrane antigen (PSMA), is an established prostate cancer marker and is considered a promising target for specific anticancer drug delivery. Low-molecular-weight inhibitors of GCPII are advantageous specific ligands for this purpose. However, they must be modified with a linker to enable connection of the ligand with an imaging molecule, anticancer drug, and/or nanocarrier. Here, we describe a structure–activity relationship (SAR) study of GCPII inhibitors with linkers suitable for imaging and drug delivery. Structure-assisted inhibitor design and targeting of a specific GCPII exosite resulted in a 7-fold improvement in Ki value compared to the parent structure. X-ray structural analysis of the inhibitor series led to the identification of several inhibitor binding modes. We also optimized the length of the inhibitor linker for effective attachment to a biotin-binding molecule and showed that the optimized inhibitor could be used to target nanoparticles to cells expressing GCPII.  相似文献   

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G protein-coupled receptors (GPCRs) comprise the most important superfamily of protein targets in current ligand discovery and drug development. GPCRs are integral membrane proteins that play key roles in various cellular signaling processes. Therefore, GPCR signaling pathways are closely associated with numerous diseases, including cancer and several neurological, immunological, and hematological disorders. Computer-aided drug design (CADD) can expedite the process of GPCR drug discovery and potentially reduce the actual cost of research and development. Increasing knowledge of biological structures, as well as improvements on computer power and algorithms, have led to unprecedented use of CADD for the discovery of novel GPCR modulators. Similarly, machine learning approaches are now widely applied in various fields of drug target research. This review briefly summarizes the application of rising CADD methodologies, as well as novel machine learning techniques, in GPCR structural studies and bioligand discovery in the past few years. Recent novel computational strategies and feasible workflows are updated, and representative cases addressing challenging issues on olfactory receptors, biased agonism, and drug-induced cardiotoxic effects are highlighted to provide insights into future GPCR drug discovery.  相似文献   

17.
A combinatorial ligand design approach based on the multiple copy simultaneous search (MCSS) method and a simple scheme for joining MCSS functional group sites was applied to the binding pocket of P3/Sabin poliovirus and rhinovirus 14. The MCSS method determines where specific functional (chemical) groups have local potential energy minima in the binding site. Before the virus application, test calculations were run to determine the optimal set of input parameters to be used in evaluating the MCSS results. The MCSS minima are analyzed and selected minima are connected with (CH2) n linkers to form candidate ligands, whose structures are optimized in the binding site. Estimates of the binding strength were made for the ligands and compared with those for known drugs. The results indicate that the proposed ligands should bind to P3/Sabin poliovirus at least as well as the best of the existing drugs, and that they should also bind to P1/Mahoney poliovirus and rhinovirus 14. A detailed comparison of the poliovirus and rhinovirus binding pockets and an analysis of drug binding specificity is presented. Proteins 29:32–58, 1997. © 1997 Wiley-Liss, Inc.  相似文献   

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AlphaFold2 is a promising new tool for researchers to predict protein structures and generate high-quality models, with low backbone and global root-mean-square deviation (RMSD) when compared with experimental structures. However, it is unclear if the structures predicted by AlphaFold2 will be valuable targets of docking. To address this question, we redocked ligands in the PDBbind datasets against the experimental co-crystallized receptor structures and against the AlphaFold2 structures using AutoDock-GPU. We find that the quality measure provided during structure prediction is not a good predictor of docking performance, despite accurately reflecting the quality of the alpha carbon alignment with experimental structures. Removing low-confidence regions of the predicted structure and making side chains flexible improves the docking outcomes. Overall, despite high-quality prediction of backbone conformation, fine structural details limit the naive application of AlphaFold2 models as docking targets.  相似文献   

20.
乔静 《生物技术通讯》2006,17(5):744-746
目的:以血管紧张素转换酶(ACE)为受体靶蛋白,设计相应的抑制剂分子。方法:采用计算机辅助药物分子设计的方法,在分析已有的关于ACE及其抑制剂的基础上,确定分子设计软件LigBuilder中的相关参数。结果:设计得出了1500个配体分子,并从中筛选出了1个各项得分最高的新型血管紧张素转换酶抑制剂分子,其分子式为C27H36N2O3,分子量为436,logP值为4.95,与受体靶蛋白ACE的结合力得分为11.71。结论:从计算得分来看,所设计出的分子与ACE的亲和性好,且脂溶性高,为发掘高活性的降压药物提供了线索。  相似文献   

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