binding site

结合位点
  • 文章类型: Journal Article
    HIV-1蛋白酶对于病毒成熟过程至关重要,因此,它是蛋白质数据库中特征最明确的蛋白质之一。有一些证据表明HIV-1蛋白酶能够在活性位点外的其表面上的几个位置容纳小分子片段。然而,蛋白质表面上的一些口袋在apo结构中仍未形成,被称为“隐蔽位点”。\"到目前为止,在HIV-1蛋白酶的结构中没有发现隐蔽位点。这里,我们通过使用几种探针的混合溶剂分子动力学模拟来表征HIV-1蛋白酶表面上的新型隐蔽悬臂袋。有趣的是,我们注意到,几种同源逆转录病毒蛋白酶在悬臂区域表现出进化上保守的动力学,并在悬臂区域具有保守的口袋。通过二硫化物交联固定HIV-1蛋白酶的悬臂区域导致皮瓣尖端卷曲,并且蛋白酶倾向于采用半开放的皮瓣构象。对隐蔽悬臂袋的基于结构的分析和基于片段的筛选表明,该袋可能能够容纳配体结构。此外,与隐蔽口袋结合的得分最高的片段的分子动力学模拟表明,片段结合的酶的皮瓣动力学发生了变化。一起,这些结果表明,悬臂区域的移动性在逆转录病毒蛋白酶的全球动态中起着关键作用。因此,HIV-1蛋白酶的隐蔽悬臂口袋可能是未来体外研究的一个有趣的目标.
    The HIV-1 protease is critical for the process of viral maturation and as such, it is one of the most well characterized proteins in the Protein Data Bank. There is some evidence to suggest that the HIV-1 protease is capable of accommodating small molecule fragments at several locations on its surface outside of the active site. However, some pockets on the surface of proteins remain unformed in the apo structure and are termed \"cryptic sites.\" To date, no cryptic sites have been identified in the structure of HIV-1 protease. Here, we characterize a novel cryptic cantilever pocket on the surface of the HIV-1 protease through mixed-solvent molecular dynamics simulations using several probes. Interestingly, we noted that several homologous retroviral proteases exhibit evolutionarily conserved dynamics in the cantilever region and possess a conserved pocket in the cantilever region. Immobilization of the cantilever region of the HIV-1 protease via disulfide cross-linking resulted in curling-in of the flap tips and the propensity for the protease to adopt a semi-open flap conformation. Structure-based analysis and fragment-based screening of the cryptic cantilever pocket suggested that the pocket may be capable of accommodating ligand structures. Furthermore, molecular dynamics simulations of a top scoring fragment bound to the cryptic pocket illustrated altered flap dynamics of the fragment-bound enzyme. Together, these results suggest that the mobility of the cantilever region plays a key role in the global dynamics of retroviral proteases. Therefore, the cryptic cantilever pocket of the HIV-1 protease may represent an interesting target for future in vitro studies.
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  • 文章类型: Journal Article
    肌细胞增强因子2A(MEF2A)是一种在细胞增殖中起关键作用的转录因子,分化和凋亡。与其在哺乳动物骨骼肌中的调节机制的广泛表征相反,它在鸡中的作用是有限的。尤其是,其广泛的靶基因仍有待鉴定。因此,我们利用靶标下的裂解和标签(CUT&Tag)技术揭示了鸡原代成肌细胞中MEF2A的全基因组结合谱,从而深入了解了其在肌肉发育中的潜在作用.我们的结果表明,MEF2A结合位点主要分布在基因间和内含子区域。在启动子区域内,尽管仅发现了8.87%的MEF2A结合位点,这些结合位点集中在转录起始位点(TSS)周围。在峰注释之后,共有1903个基因被鉴定为MEF2A的潜在靶标。基因本体论(GO)富集分析进一步揭示MEF2A靶基因可能参与多器官系统胚胎发育的调控,包括肌肉发育,腺体发育,和视觉系统开发。此外,在鸡原代成肌细胞中鉴定的MEF2A靶基因与小鼠C2C12细胞中的MEF2A靶基因的比较揭示了388个靶基因在物种之间是保守的,1515个靶基因是鸡特异性的。在这些保守的基因中,含有5(ASB5)的ankyrin重复和SOCS盒,跨膜蛋白182(TMEM182),肌球蛋白2(MYOM2),亮氨酰氨基肽酶(LNPEP),肌动蛋白α2(ACTN2),sorbin和SH3域包含1(SORBS1),ankyrin3(ANK3),肌聚糖δ(SGCD),和ORAI钙释放激活的钙调节剂1(ORAI1)在胚胎肌肉发育过程中与MEF2A表现出一致的表达模式。最后,TMEM182作为肌肉发育的重要负调控因子,已通过双荧光素酶和定量实时PCR(qPCR)测定验证了MEF2A的调控。总之,我们的研究首次提供了鸡原代成肌细胞MEF2A靶基因的广泛景观,这支持了MEF2A在鸡肌肉发育中的积极作用。
    Myocyte enhancer factor 2A (MEF2A) is a transcription factor that plays a critical role in cell proliferation, differentiation and apoptosis. In contrast to the wide characterization of its regulation mechanism in mammalian skeletal muscle, its role in chickens is limited. Especially, its wide target genes remain to be identified. Therefore, we utilized Cleavage Under Targets and Tagmentation (CUT&Tag) technology to reveal the genome-wide binding profile of MEF2A in chicken primary myoblasts thus gaining insights into its potential role in muscle development. Our results revealed that MEF2A binding sites were primarily distributed in intergenic and intronic regions. Within the promoter region, although only 8.87% of MEF2A binding sites were found, these binding sites were concentrated around the transcription start site (TSS). Following peak annotation, a total of 1903 genes were identified as potential targets of MEF2A. Gene Ontology (GO) enrichment analysis further revealed that MEF2A target genes may be involved in the regulation of embryonic development in multiple organ systems, including muscle development, gland development, and visual system development. Moreover, a comparison of the MEF2A target genes identified in chicken primary myoblasts with those in mouse C2C12 cells revealed 388 target genes are conserved across species, 1515 target genes are chicken specific. Among these conserved genes, ankyrin repeat and SOCS box containing 5 (ASB5), transmembrane protein 182 (TMEM182), myomesin 2 (MYOM2), leucyl and cystinyl aminopeptidase (LNPEP), actinin alpha 2 (ACTN2), sorbin and SH3 domain containing 1 (SORBS1), ankyrin 3 (ANK3), sarcoglycan delta (SGCD), and ORAI calcium release-activated calcium modulator 1 (ORAI1) exhibited consistent expression patterns with MEF2A during embryonic muscle development. Finally, TMEM182, as an important negative regulator of muscle development, has been validated to be regulated by MEF2A by dual-luciferase and quantitative real-time PCR (qPCR) assays. In summary, our study for the first time provides a wide landscape of MEF2A target genes in chicken primary myoblasts, which supports the active role of MEF2A in chicken muscle development.
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  • 文章类型: Journal Article
    背景:氨基酸是一种高效且环保的SO2吸附剂。然而,还没有在分子水平上对氨基酸与SO2之间的结合模式进行全面研究。在本文中,三种氨基酸的结合模式(Asp,Lys,和Val)使用量子化学计算对SO2进行了全面而详细的研究。结果表明,每个氨基酸具有多种结合模式:Asp为22,49对于Lys,和10的Val。氨基酸中的氨基和羧基,以及那些在侧链,可以用作硫属元素键的结合位点。Asp的结合能范围为-6.42至-1.06kcal/mol,-12.43至-1.63kcal/mol的Lys,Val为-7.42至-0.60kcal/mol。硫属元素和氢键在更强的结合模式中起着至关重要的作用。硫属元素键在与氨基相互作用时最强,绝热力常数为0.475mDyn/µ。能量分解分析表明,相互作用主要是静电引力,轨道和色散相互作用取决于结合模式。
    方法:使用氨基酸和氨基酸与SO2的复合物在GFN2水平上使用Molclus结合xtb进行半经验性MD。使用密度泛函理论(DFT)B3LYP/6-311G*(具有DFT-D3校正)进行结构的优化和频率计算。使用DLPNO-CCSD(T)/aug-cc-pVTZ和tightPNO对所有结构进行单点能量计算。使用ESP对结构进行了进一步分析,AIM,IGMH,和sob-EDA,以更深入地了解氨基酸与SO2之间的相互作用。
    BACKGROUND: Amino acids are a highly effective and environmentally friendly adsorbent for SO2. However, there has been no comprehensive study of the binding modes between amino acids and SO2 at the molecular level. In this paper, the binding modes of three amino acids (Asp, Lys, and Val) with SO2 are studied comprehensively and in detail using quantum chemical calculations. The results indicate that each amino acid has multiple binding modes: 22 for Asp, 49 for Lys, and 10 for Val. Both the amino and carboxyl groups in amino acids, as well as those in side chains, can serve as binding sites for chalcogen bonds. The binding energies range from - 6.42 to - 1.06 kcal/mol for Asp, - 12.43 to - 1.63 kcal/mol for Lys, and - 7.42 to - 0.60 kcal/mol for Val. Chalcogen and hydrogen bonds play a crucial role in the stronger binding modes. The chalcogen bond is the strongest when interacting with an amino group, with an adiabatic force constant of 0.475 mDyn/Å. Energy decomposition analysis indicates that the interaction is primarily electrostatic attraction, with the orbital and dispersive interactions dependent on the binding mode.
    METHODS: Amino acids and complexes of amino acids with SO2 were used to do semi-empirical MD using Molclus combined with xtb at the GFN2 level. Optimization and frequency calculations of the structures were conducted using density-functional theory (DFT) B3LYP/6-311G* (with DFT-D3 correction). Single-point energy calculations were performed for all structures using DLPNO-CCSD(T)/aug-cc-pVTZ with tightPNO. Further analysis of the structures was conducted using ESP, AIM, IGMH, and sob-EDA to gain a deeper understanding of the interactions between amino acids and SO2.
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  • 文章类型: Journal Article
    了解药物与蛋白质之间相互作用的能量学在药代动力学和药效学研究中至关重要。结合亲和力(K)有助于研究药物如何紧密或松散地与蛋白质结合。绑定,位移,药物庆大霉素(GM)的构象变化和稳定性研究,5-氟尿嘧啶(5FU),土霉素(OTC)和罗列特环素(RTC)与牛血清白蛋白(BSA)已在存在其他药物的情况下通过荧光进行,紫外可见光谱,分子对接,圆二色性技术和热变性方法。位点标记研究和对接方法已经证实5FU和GM能够结合位点1,OTC和RTC能够结合位点II的BSA。对于二元系统,它们与BSA的结合亲和力的顺序为GM<5FU Understanding of energetics of interactions between drug and protein is essential in pharmacokinetics and pharmacodynamics study. The binding affinity (K) helps in investigating how tightly or loosely drug is bound to protein. The binding, displacement, conformational change and stability study of drugs- gentamicin (GM), 5-fluorouracil (5FU), oxytetracycline (OTC) and rolitetracycline (RTC) with bovine serum albumin (BSA) has been carried out in presence of each other drug by fluorescence, UV-visible spectroscopy, molecular docking, circular dichroism techniques and thermal denaturation method. The site marker study and docking methods have confirmed that 5FU and GM are able to bind at site 1 and OTC and RTC at site II of BSA. The order of their binding affinities with BSA for the binary system were as GM <5FU < OTC < RTC with the order of 102 < 103 < 105 < 105-6 M-1. The displacement study has shown that higher affinity drug decreases the equilibrium constant of another drug already in bound state with BSA if both these drugs are having the same binding site. Therefore 5FU, GM (binding site 1) drugs were not able to displace OTC and RTC (binding site 2) and vice-versa as they are binding at two different sites. The binding constant values were found to be decreasing with increasing temperature for all the systems involved which suggests static or mixed type of quenching, however can only confirmed with the help of TCSPC technique. The ΔG0 (binding energy) obtained from docking method were in accordance with the ITC method. From molecular docking we have determined the amino acid residues involved in binding process for binary and ternary systems by considering first rank minimum binding energy confirmation. From CD it has been observed that RTC causes most conformational change in secondary and tertiary structure of BSA due to the presence of pyrrole ring. OTC-RTC with higher affinity showed highest melting temperature Tm values while low affinity drugs in (5FU-GM) combination showed lowest Tm value. 5FU showed large endothermic denaturation enthalpy ΔHd0 due to the presence of highly electronegative fluorine atom in the pyridine analogue.
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  • 文章类型: Journal Article
    背景:确定药物结合靶标及其相应位点对于药物发现和机制研究至关重要。有限的蛋白水解耦合质谱(LiP-MS)是一种用于检测化合物和蛋白质相互作用的复杂方法。然而,在某些情况下,由于结构变化小或缺乏低丰度蛋白的富集,LiP-MS无法识别靶蛋白。为了克服这个缺点,我们开发了一种热稳定性辅助的有限蛋白水解耦合质谱(TALiP-MS)方法,用于有效的药物靶标发现.
    结果:我们证明了新策略,TALiP-MS,可以有效地识别各种配体的靶蛋白,包括环孢菌素A(钙调磷酸酶抑制剂),格尔德霉素(HSP90抑制剂),和星形孢菌素(激酶抑制剂),准确识别药物结合域。TALiP方案使LiP-MS实验中检测到的靶肽的数量增加2至8倍。同时,TALiP-MS方法不仅可以鉴定配体结合稳定性和不稳定蛋白,而且与热蛋白质组分析(TPP)和基于机器学习的有限蛋白水解(LiP-Quant)方法具有高度互补性。开发的TALiP-MS方法用于鉴定雷公藤红素(CEL)的靶蛋白,一种天然产品,以其强大的抗氧化和抗癌血管生成作用而闻名。其中,四种蛋白质,MTHFD1,UBA1,ACLY,通过使用细胞热转移测定进一步验证了SND1对CEL的强亲和力。此外,CEL诱导的不稳定蛋白如TAGLN2和CFL1也得到了验证。
    结论:总的来说,这些发现强调了TALiP-MS方法识别药物靶标的有效性,阐明结合位点,甚至检测药物诱导的复杂蛋白质组中靶蛋白质的构象变化。
    BACKGROUND: Identifying drug-binding targets and their corresponding sites is crucial for drug discovery and mechanism studies. Limited proteolysis-coupled mass spectrometry (LiP-MS) is a sophisticated method used for the detection of compound and protein interactions. However, in some cases, LiP-MS cannot identify the target proteins due to the small structure changes or the lack of enrichment of low-abundant protein. To overcome this drawback, we developed a thermostability-assisted limited proteolysis-coupled mass spectrometry (TALiP-MS) approach for efficient drug target discovery.
    RESULTS: We proved that the novel strategy, TALiP-MS, could efficiently identify target proteins of various ligands, including cyclosporin A (a calcineurin inhibitor), geldanamycin (an HSP90 inhibitor), and staurosporine (a kinase inhibitor), with accurately recognizing drug-binding domains. The TALiP protocol increased the number of target peptides detected in LiP-MS experiments by 2- to 8-fold. Meanwhile, the TALiP-MS approach can not only identify both ligand-binding stability and destabilization proteins but also shows high complementarity with the thermal proteome profiling (TPP) and machine learning-based limited proteolysis (LiP-Quant) methods. The developed TALiP-MS approach was applied to identify the target proteins of celastrol (CEL), a natural product known for its strong antioxidant and anti-cancer angiogenesis effect. Among them, four proteins, MTHFD1, UBA1, ACLY, and SND1 were further validated for their strong affinity to CEL by using cellular thermal shift assay. Additionally, the destabilized proteins induced by CEL such as TAGLN2 and CFL1 were also validated.
    CONCLUSIONS: Collectively, these findings underscore the efficacy of the TALiP-MS method for identifying drug targets, elucidating binding sites, and even detecting drug-induced conformational changes in target proteins in complex proteomes.
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  • 文章类型: Journal Article
    作为一种先天性免疫模式识别受体,Toll样受体4(TLR4)最近被认为是糖脂代谢的关键参与者。蓝莓含有大量的花青素,尤其是malvidin-3-葡萄糖苷(Mv-3-glc),这有助于抗炎,低血糖,和降血脂作用。推测Mv-3-glc能够通过与TLR4结合而具有这些功能。这里,通过包括荧光和紫外-可见(UV-Vis)吸收光谱在内的多种技术探索了Mv-3-GLC和TLR4的非共价相互作用,以及分子对接。结果表明,Mv-3-glc能够有效抑制TLR4的固有荧光。自发形成稳定的络合物并且反应是放热的。Mv-3-glc与TLR4的结合程度显示出对化学浓度的强烈依赖性,温度,和pH值。Mv-3-glc和TLR4相互作用的焓(ΔH=-69.1±10.8kJ/mol)和熵(ΔS=-105.0±12.3J/mol/K)的负号表明,主要驱动力是氢键和范德华力,这与分子对接结果一致。此外,分子对接预测活性中心具有特定的氨基酸残基,Phe126,Ser127,Leu54,Ile153和Tyr131负责Mv-3-glc与TLR4/髓样分化蛋白2(MD-2)的结合位点。这些发现证实了Mv-3-glc可以与TLR4结合,这将有助于了解蓝莓花色苷对TLR4调节糖脂代谢的靶向治疗作用。
    As one innate immune pattern recognition receptor, Toll-like receptor 4 (TLR4) recently has been considered as a critical player in glucolipid metabolism. Blueberries contain high level of anthocyanins, especially malvidin-3-glucoside (Mv-3-glc), which contribute the anti-inflammatory, hypoglycemic, and hypolipidemic effects. It is speculated that Mv-3-glc is able to possess these functions by binding to TLR4. Here, the noncovalent interactions of Mv-3-glc and TLR4 was explored through multi-techniques including fluorescence and ultraviolet-visible (UV-Vis) absorption spectroscopy, as well as molecular docking. The results demonstrated that Mv-3-glc was able to quench TLR4 intrinsic fluorescence effectively. A stable complex was formed spontaneously and the reaction was exothermic. The degree of binding of Mv-3-glc to TLR4 showed a strong dependence on the chemical concentration, temperature, and pH values. The negative signs for enthalpy (ΔH = -69.1 ± 10.8 kJ/mol) and entropy (ΔS = -105.0 ± 12.3 J/mol/K) from the interaction of the Mv-3-glc and TLR4 shows that the major driving forces are the hydrogen bonding and van der Waals\' force, which is consistent with the molecular docking results. In addition, molecular docking predicted that the active center with specific amino acid residues, Phe126, Ser127, Leu54, Ile153, and Tyr131 was responsible for the site of Mv-3-glc binding to TLR4/myeloid differentiation protein-2 (MD-2). These findings confirmed that Mv-3-glc could bind to TLR4, which would be beneficial to understand the target therapeutic effects of blueberry anthocyanins on TLR4 in regulating glucolipid metabolism.
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  • 文章类型: Journal Article
    神经递质配体通过激活离子型谷氨酸受体(iGluR)离子通道电激发神经元。支配配体诱导的活化的iGluR氨基酸残基的知识将使得能够从序列预测功能。因此,我们探索了大鼠N-甲基-D-天冬氨酸(NMDA)型iGluRs(NMDA受体)活性的分子决定因素,复合异聚iGluR包含两个甘氨酸结合GluN1和两个谷氨酸结合GluN2亚基,使用氨基酸序列分析,诱变,和电生理学。我们发现,广泛保守的天冬氨酸残基控制配体效力和通道活性,在这个位置的某些取代绕过GluN1亚基中配体结合的需要的程度,产生仅由谷氨酸激活的NMDA受体。此外,我们从胎盘虫Trichoplaxadhaerens中鉴定出一个同型iGluR,它利用了这个关键残基的天然突变进化成一个被神经递质结合抑制的泄漏通道,指出该残基在整个iGluR超家族中的主导作用。
    Neurotransmitter ligands electrically excite neurons by activating ionotropic glutamate receptor (iGluR) ion channels. Knowledge of the iGluR amino acid residues that dominate ligand-induced activation would enable the prediction of function from sequence. We therefore explored the molecular determinants of activity in rat N-methyl-D-aspartate (NMDA)-type iGluRs (NMDA receptors), complex heteromeric iGluRs comprising two glycine-binding GluN1 and two glutamate-binding GluN2 subunits, using amino acid sequence analysis, mutagenesis, and electrophysiology. We find that a broadly conserved aspartate residue controls both ligand potency and channel activity, to the extent that certain substitutions at this position bypass the need for ligand binding in GluN1 subunits, generating NMDA receptors activated solely by glutamate. Furthermore, we identify a homomeric iGluR from the placozoan Trichoplax adhaerens that has utilized native mutations of this crucial residue to evolve into a leak channel that is inhibited by neurotransmitter binding, pointing to a dominant role of this residue throughout the iGluR superfamily.
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  • 文章类型: Journal Article
    乙醇对物理化学的影响,研究了苦荞麦淀粉-槲皮素/芦丁复合物(e-TBSQ和e-TBSR)的结构和体外消化特性。乙醇限制了苦荞麦淀粉(TBS)的糊化,这导致ΔH增加,G'和G''以及e-TBSQ和e-TBSR的表观粘度降低。颗粒大小,扫描电子显微镜和X射线衍射结果表明,当乙醇浓度为25%时,乙醇会影响TBS颗粒的形态结构,e-TBSQ和e-TBSR中的淀粉结晶结构由B型变为V型。饱和转移差异-核磁共振结果表明,乙醇削弱了槲皮素/芦丁对e-TBSQ和e-TBSR中TBS的结合能力,导致槲皮素结构单元上结合位点的变化。e-TBSQ和e-TBSR中残留的未糊化TBS颗粒诱导了较高的缓慢消化淀粉含量,因此显示出“耐消化”。
    The effects of ethanol on the physicochemical, structural and in vitro digestive properties of Tartary buckwheat starch-quercetin/rutin complexes (e-TBSQ and e-TBSR) were investigated. Ethanol restricted the gelatinization of Tartary buckwheat starch (TBS), which resulted an increase in ∆H, G\' and G\" as well as a decrease in apparent viscosity of e-TBSQ and e-TBSR. The particle size, scanning electron microscopy and X-ray diffraction results showed that ethanol influenced the morphological structure of TBS granules and the starch crystalline structure in e-TBSQ and e-TBSR changed from B-type to V-type when the ethanol concentration was 25%. Saturation transfer difference-nuclear magnetic resonance results revealed that ethanol weakened the binding ability of quercetin/rutin to TBS in e-TBSQ and e-TBSR, leading to a change in the binding site on the quercetin structural unit. The residual ungelatinized TBS granules in e-TBSQ and e-TBSR induced a high slowly digestible starch content, and thus displayed a \"resistant-to-digestion\".
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  • 文章类型: Journal Article
    在单分子水平上揭示抗癌药物与靶DNA分子之间的相互作用机制是生物物理化学和药物工程跨学科领域的研究热点。当采用荧光成像技术进行这类研究时,由于荧光染料分子和药物分子同时作用于DNA分子,因此遇到了棘手的问题。在本文中,基于自制的新型固体活性基底NpAA/(ZnO-ZnCl2)/AuNPs,我们使用表面增强拉曼光谱方法,倒置荧光显微镜技术,和分子对接方法研究荧光染料YOYO-1和药物DOX对小牛胸腺DNA(ctDNA)分子的作用及YOYO-1对ctDNA-DOX复合物结合特性的影响作用和竞争关系。系统地检查了YOYO-1和ctDNA-DOX复合物之间的相互作用位点和作用方式,并将DOX与ctDNA-YOYO-1进行比较,阐明了YOYO-1对ctDNA-DOX复合物稳定性的影响以及DOX和YOYO-1与DNA分子之间的竞争机制。本研究对在单分子水平上阐明药物与生物分子的相互作用机制具有一定的实验指导和理论基础。
    Revealing the interaction mechanisms between anticancer drugs and target DNA molecules at the single-molecule level is a hot research topic in the interdisciplinary fields of biophysical chemistry and pharmaceutical engineering. When fluorescence imaging technology is employed to carry out this kind of research, a knotty problem due to fluorescent dye molecules and drug molecules acting on a DNA molecule simultaneously is encountered. In this paper, based on self-made novel solid active substrates NpAA/(ZnO-ZnCl2)/AuNPs, we use a surface-enhanced Raman spectroscopy method, inverted fluorescence microscope technology, and a molecular docking method to investigate the action of the fluorescent dye YOYO-1 and the drug DOX on calf thymus DNA (ctDNA) molecules and the influencing effects and competitive relationships of YOYO-1 on the binding properties of the ctDNA-DOX complex. The interaction sites and modes of action between the YOYO-1 and the ctDNA-DOX complex are systematically examined, and the DOX with the ctDNA-YOYO-1 are compared, and the impact of YOYO-1 on the stability of the ctDNA-DOX complex and the competitive mechanism between DOX and YOYO-1 acting with DNA molecules are elucidated. This study has helpful experimental guidance and a theoretical foundation to expound the mechanism of interaction between drugs and biomolecules at the single-molecule level.
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  • 文章类型: Journal Article
    药物发现通常始于新的靶标。蛋白质-蛋白质相互作用(PPIs)对于多种细胞过程至关重要,并为药物靶标发现提供了有希望的途径。PPI的特点是多层次的复杂性:在蛋白质水平,交互网络可用于识别潜在目标,而在残留物水平,各个PPI相互作用的详细信息可用于检查目标的可药用性。通过多级PPI相关的计算方法,在目标发现方面取得了很大进展,但是这些资源还没有得到充分的讨论。这里,我们系统地调查了用于识别和评估潜在药物靶标的生物信息学工具,检查他们的特点,限制和应用。这项工作将有助于更广泛的蛋白质到网络背景的整合,并分析详细的结合机制,以支持药物靶标的发现。
    Drug discovery often begins with a new target. Protein-protein interactions (PPIs) are crucial to multitudinous cellular processes and offer a promising avenue for drug-target discovery. PPIs are characterized by multi-level complexity: at the protein level, interaction networks can be used to identify potential targets, whereas at the residue level, the details of the interactions of individual PPIs can be used to examine a target\'s druggability. Much great progress has been made in target discovery through multi-level PPI-related computational approaches, but these resources have not been fully discussed. Here, we systematically survey bioinformatics tools for identifying and assessing potential drug targets, examining their characteristics, limitations and applications. This work will aid the integration of the broader protein-to-network context with the analysis of detailed binding mechanisms to support the discovery of drug targets.
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