三七总皂甙对牛血清白蛋白溶液构象的影响

应用衰减全反射傅立叶变换红外光谱结合荧光光谱和紫外光谱研究了中药三七 的有效成分三七总皂甙与牛血清白蛋白（BSA）的相互作用，采用对蛋白质红外光 谱酰氨Ⅰ带和酰氨Ⅲ带进行曲线拟合的方法，定量分析了不同浓度三七总皂甙对 BSA二级结构的影响，发现随着三七总皂甙浓度的增加，蛋白分子结构逐渐发生了 由螺旋向折叠的转化。a-螺旋结构减少了3%，β-折叠结构增加了约5%，其它二级 结构没有明显的变化，红外差谱和荧光光谱的结果为药物与蛋白质的作用引起牛血 清白蛋白溶液构象的变化提供了佐证，紫外光谱反映了单体皂甙与蛋白质的结合常 数的差异。     

Spectroscopic investigation of the interaction between human serum albumin and three organic acids

The interactions of human serum albumin (HSA) with sinapic acid (SA), gallic acid (GA) and shikimic acid (SI) were investigated by fluorescence and Fourier transformed infrared spectrometry. Fluorescence results showed that one molecule of protein combined with one molecule of GA at the molar ratio of drug to HSA ranging from 0.1 to 30, and their binding constant (K(A)) is 1.1x10(4) M(-1). While one HSA molecule combined with one or two molecule of SA at the molar ratio of drug to HSA ranging from 0.1 to 4.26 or 4.26 to 30, and their binding affinities (K(A)) are 1.92x10(3) M(-1) and 6.87x10(8) M(-1), respectively. There is no specific interaction between HSA and SI. Combining the curve-fitting results of infrared amide I and amide III bands, the alterations of protein secondary structures induced by drugs were estimated. The drug-protein combination brought gradual reductions of the protein alpha-helix structure with increasing the concentrations of SA and GA, but SI did not change the protein secondary structure. From the fluorescence and FT-IR results, the binding mode was discussed in relation to the structures of the organic acids.     

气相色谱-三重四极杆串联质谱结合QuEChERS测定三七中有机磷农药残留

建立了改良的QuEChERS样品前处理法,结合气相色谱-三重四极杆串联质谱(GC-MS/MS)同时测定三七中18种有机磷农药残留的方法。样品经1%乙酸-乙腈提取,改良QuEChERS技术净化,利用GC-MS/MS采取多反应离子监测模式测定,基质匹配校准曲线外标法定量。18种有机磷农药残留在2.5~120.0μg/kg范围内线性良好,相关系数(R2)大于0.99;检出限为0.4~1.5μg/kg,定量限为0.8~2.5μg/kg。在3个加标水平(2.5,8.0,60.0μg/kg)下平均回收率为70.5%~118.9%,相对标准偏差为1.0%~9.8%。     

Simple and Rapid Hollow Fiber Liquid Phase Microextraction Followed by High Performance Liquid Chromatography Method for Determination of Drug-protein Binding

A method was established using hollow fiber-liquid phase microextraction(HF-LPME) followed by high performance liquid chromatography(HPLC) to determine the concentration of the free(unbound) drug in the solution of the drug and protein. Measurements of drug-protein binding ratios and free drug concentrations were then analyzed with the Klotz equation to determine the equilibrium binding constant and number of binding sites for drug-protein interaction. The optimized method allows one to perform the efficient extraction and separation of free drug from protein-bound drug, protein, and other interfering substances. This approach was used to characterize the binding of the anticholinergic drugs atropine sulfate and scopolamine hydrobromide to proteins in human plasma and bovine serum albumin(BSA). The results demonstrate the utility of HF-LPME method for measuring free drug concentrations in protein-drug mixtures and determining the protein binding parameters of a pharmacologically important class of drugs.     

Spectral deciphering of the interaction between an intramolecular hydrogen bonded ESIPT drug, 3,5-dichlorosalicylic acid, and a model transport protein

The present work demonstrates a detailed characterization of the interaction of a bio-active drug molecule 3,5-dichlorosalicyclic acid (3,5DCSA) with a model transport protein Bovine Serum Albumin (BSA). The drug molecule is a potential candidate exhibiting Excited-State Intramolecular Proton Transfer (ESIPT) reaction and the modulation of ESIPT photophysics within the bio-environment of the protein has been exploited spectroscopically to monitor the drug-protein binding interaction. Apart from evaluating the binding constant (K (±10%) = 394 M(-1)) the probable location of the neutral drug molecule within the protein cavity (hydrophobic subdomain IIA) is explored by AutoDock-based blind docking simulation. The rotational relaxation dynamics of the drug within the protein has been interpreted on the lexicon of the two-step and wobbling-in-cone model. Circular dichroism (CD) spectroscopy delineates the effect of drug binding on the protein secondary structure in terms of decrease of α-helical content of BSA with increasing drug concentration. Also the esterase activity of the drug:protein conjugate system is found to be reduced in comparison to the native protein.     

Modification of the thermal unfolding pathways of myoglobin upon drug interaction in different aqueous media

In this work, we have analyzed the influence of two structurally related phenothiazine drugs, promazine and triflupromazine hydrochlorides, when bound to myoglobin, a model protein, and how the drug concentration and solution conditions may affect the denaturation process of this protein. In this manner, we derive the thermodynamic quantities of the unfolding process by using a spectroscopic technique such as UV-vis spectroscopy at different drugs concentrations and at pH 2.5, 5.5, and 9.0. To do this, a thermodynamic model was used which included experimental data corresponding to the pre- and post-transition into the observable transition. It has been found that both drugs play a destabilizing role for the protein, at least at low concentrations. In addition, at acidic pH and higher drug concentrations, a stabilizing effect can be observed, which may be related to the formation of some type of protein refolding, subsequent aggregation, or both. The reason for this behavior has been suggested to be the different protein conformations at acidic pH, the increase of solvent-exposed hydrophobic and hydrophilic residues after denaturation and/or binding, and the different strength of drug-protein interactions when changing the solution conditions. For this reason, thermodynamic quantities such as Gibbs energies, DeltaG, and entropies of unfolding, DeltaS(m), increase as the solution pH increases provided that additional solvent-exposed hydrophobic residues are present, which were previously buried at room temperature. Moreover, the larger binding affinity at pH 9.0 due to enhanced electrostatic interactions between protein and drug molecules (drug and protein differ in their net electrical charge) additionally collaborates to this residue exposition to solvent as a consequence of the alteration of protein conformation as due to drug binding. Comparison of thermodynamic data between promazine and triflupromazine hydrochlorides also shows that drug-protein affinity and hydrophobicity also affect the thermodynamic denaturation parameters.     

亲和层析结合生物质谱技术分析鉴定猕猴血清中的重组人内皮抑制素

建立了将固相亲和层析与生物质谱技术相结合 ,分离提取鉴定给药猕猴血清中含有 6×His序列的重组人内皮抑制素的方法。用固相免疫亲和层析和金属螯合层析两种方法分别提取并富集血清中的重组药物 ,采用基质辅助激光解吸 电离飞行时间质谱的直接分析和肽质量指纹谱分析与数据库检索 ,分别对两种亲和提取方法得到的药物蛋白前体collagenXVIII[Homosapiens](IDofSWISS -PROT TrEMBL :Q8WXI5 )进行了鉴定     

色谱技术在药物-血浆蛋白相互作用研究中的应用进展

小分子药物进入人体血液循环系统后与人血清白蛋白(HSA)、α₁ -酸性糖蛋白(AGP)等血浆蛋白存在广泛的相互作用,这些相互作用深刻影响药物在体内的分布及其与靶标蛋白的结合,进而影响药物效应的发挥。深入探究药物与血浆蛋白间的相互作用对于候选药物的成药性优化、新药研发、联合用药的风险评控等意义重大。而发展高效、灵敏、准确的分析检测方法是开展药物-血浆蛋白相互作用研究的关键。近年来,色谱技术由于其高通量、高分离性能、高灵敏度等特点在该领域得到了广泛的应用,包括测定血浆蛋白翻译后修饰对药物结合的影响,多种药物的竞争性结合等。其中,高效亲和色谱(HPAC)和毛细管电泳(CE)应用最为广泛,能够通过多种分析方法获取结合常数、结合位点数、解离速率常数等相互作用信息。该文着重综述了HPAC和CE在药物-血浆蛋白相互作用研究中的常用策略及最新研究进展,包括HPAC中常用的前沿色谱法、竞争洗脱法、超快亲和提取法、峰值分析法和峰衰减分析法,以及CE中常用的亲和毛细管电泳法(ACE)和毛细管电泳前沿分析法(CE-FA)等。最后,该文还对当前色谱方法存在的不足进行了总结,并对色谱技术在药物-血浆蛋白相互作用研究领域的应用前景和发展方向进行了展望。     

Study on the interaction of tamiflu and oseltamivir carboxylate with human serum albumin

Oseltamivir phosphate (OP; tamiflu) is an antiviral pro-drug, which is hydrolyzed hepatically to the active metabolite oseltamivir carboxylate (OC). It is the first orally neuraminidase inhibitor that was used in the treatment and prophylaxis of influenza virus A and B infection. Human serum albumin (HSA) is the most abundant of the proteins in the blood plasma and is major transporter for delivering several drugs in vivo. This study was designed to examine the interaction of HSA with oseltamivir phosphate (OP) and oseltamivir carboxylate (OC) in aqueous solution at physiological conditions, using a constant protein concentration and various drug contents. FTIR, UV-Vis spectroscopic methods were used to determine the drugs binding mode, the binding constant and the effects of drug complexation on protein secondary structure. Structural analysis showed that OP and OC bind HSA via polypeptide polar groups with overall binding constants of K(OP-HSA)=3.86(± 1.05)× 10(3)M(-1) and K(OC-HSA)=1.5(±0.45) × 10(2)M(-1). The alterations of protein secondary structure are attributed to a partial destabilization of HSA on drug complexation. The protein secondary structure showed no major alterations at low drugs concentrations (50 μM), whereas at higher content (1mM), decrease of α-helix from 58% (free HSA) to 38% (OP-HSA)-48% (OC-HSA), decrease of random coil from 15% (free HSA) to 2% (OP-HSA)-3% (OC-HSA), increase of β-sheet from 6% (free HSA) to 20% (OC-HSA)-29% (OP-HSA) and turn from 8% (free HSA) to 17% (OC-HSA)-19% (OP-HSA) occurred in the drug-HSA complexes. These observations indicated that low drug content induced protein stabilization, whereas at high drug concentration, a partial protein destabilization occurred in these drug-HSA complexes.     

Effect of biological confinement on the photophysics and dynamics of a proton-transfer phototautomer: an exploration of excitation and emission wavelength-dependent photophysics of the protein-bound drug

The present work demonstrates the effect of biological confinement on the photophysics and dynamics of a bio-active drug molecule viz., 5-chlorosalicylic acid (5ClSA). 5ClSA is a potential candidate exhibiting Excited-State Intramolecular Proton Transfer (ESIPT) reaction and thereby generating the phototautomer (i.e. proton transferred keto form) in the excited state. Given the pK(a) of 5ClSA (around 2.64), the anionic form of the drug molecule is expected to be the interacting species with the protein under the experimental conditions (buffered solution of pH 7.40). The ESIPT photophysics of the drug (5ClSA anion) is found to be remarkably modified within the confined bio-environment of a model transport protein Bovine Serum Albumin (BSA) in terms of remarkable emission intensity enhancement coupled with a discernible red-shift of the emission maximum wavelength. Such considerable modification of the ESIPT photophysics of the 5ClSA anion has been exploited to determine the drug-protein binding strength (as characterized by the binding constant K (±10%) = 6.11 × 10(2) M(-1)). The present work also delves into evaluation of the probable binding location of the drug within the biomacromolecular assembly of the protein by a blind docking simulation technique, which reveals hydrophobic subdomain IIA to be the probable binding site of the drug. Circular dichroism (CD) spectroscopy delineates the effect of drug binding on the protein secondary structure in terms of decrease of α-helical content of BSA with increasing drug concentration. Apart from this, the excitation-emission matrix fluorescence technique is found to hint at the effect on protein tertiary structure upon binding to the drug. Chaotrope-induced protein denaturation has been explored to complement the findings on the binding interaction process. The modulated dynamics of the proton transfer phototautomer of the 5ClSA anion within the biological confinement is also investigated in this context to explore the slower rate of solvent-relaxation dynamics.     

Analysis of the interaction between alpha-1-acid glycoprotein and tamoxifen and its metabolites

Tamoxifen is administered for the treatment of breast cancer; however resistance to therapy is commonplace. Postulated mechanisms of resistance to tamoxifen include altered pharmacology of the drug, changes in the structure and function of the oestrogen receptor and expression of genes that function to support the growth of cells resistant to tamoxifen. However, binding of drugs to proteins found in the plasma is known to affect the efficacy of drugs and alter their distribution. It is already known that tamoxifen is bound 99% to albumin. We investigated the interaction between the plasma protein, alpha-1-acid glycoprotein (AGP), and tamoxifen, since if binding did occur then the free plasma concentration of the drug would be reduced, resulting in the minimum effective concentration of tamoxifen not being attained. Using a recently described intrinsic fluorescence technique for the study of drug-protein interactions, the extent of binding between tamoxifen citrate and AGP was determined. Furthermore, analysis of binding of the known active metabolites of tamoxifen (4-hydroxytamoxifen, N-desmethyltamoxifen, N-desdimethyltamoxifen, cis-alpha-hydroxytamoxifen and trans-alpha-hydroxytamoxifen) to AGP was conducted. Tamoxifen citrate and metabolites were shown to bind AGP, however the level of interaction was low and negligible at the concentration of the drug found in the plasma.     

Vibrational circular dichroism of protein films

Vibrational circular dichroism (VCD) spectra in the 1800-1400 cm(-)(1) region have been measured for the first time for protein films prepared from aqueous buffer solutions. These measurements demonstrate several advantages of significant importance. First, the interference from infrared absorption of water in the amide I region, which is a serious limitation for measurements in water solutions, is eliminated. Second, the amounts of protein samples required for VCD measurements on films are approximately 2 orders of magnitude smaller than those required for the same in water solutions. In addition, the amide I absorption and VCD bands of protein films are found to be independent of film orientation. Furthermore, characteristic VCD patterns have been observed for protein films whose secondary structure is dominated by alpha-helix, beta-sheet, and alpha + beta combinations. These results demonstrate that VCD can be used to study the structure of proteins in the film state.     

Synthesis,characterization, and surface properties of amide amine oxides based on natural vegetable oil

Two types of novel amine oxide surfactants, castor oil amide amine oxide and cottonseed oil amide amine oxide, have been successfully synthesized via a two-step synthetic route with mild reaction conditions, the chemical structures of which were confirmed by mass spectra (MS) and FTIR spectra. Their surface activities have been measured. The results show that these synthesized amide amine oxide surfactants reduced the surface tension of water to a minimum value of approximately 32.48 mN/m at a concentration of 5.06?×?10^?5?mol/L. It was also found that these novel amide amine oxide surfactants exhibited strong emulsifying power.     

N-glycosylation of High Mobility Group Box 1 protein (HMGB1) modulates the interaction with glycyrrhizin: A molecular modeling study

High Mobility Group Box 1 protein (HMGB1) is an abundant protein with multiple functions in cells, acting as a DNA chaperone and damage-associated molecular pattern molecule. It represents an attractive target for the treatment of inflammatory diseases and cancers. The plant natural product glycyrrhizin (GLR) is a well-characterized ligand of HMGB1 and a drug used to treat diverse liver and skin diseases. The drug is known to bind to each of the two adjacent HMG boxes of the non-glycosylated protein. In cells, HMGB1 is N-glycosylated at three asparagine residues located in boxes A and B, and these N-glycans are essential for the nucleocytoplasmic transport of the protein. But the impact of the N-glycans on drug binding is unknown. Here we have investigated the effect of the N-glycosylation of HMGB1 on its interaction with GLR using molecular modelling, after incorporation of three N-glycans on a Human HMGB1 structure (PDB code 2YRQ). Sialylated bi-antennary N-glycans were introduced on the protein and exposed in a folded or an extended conformation for the drug binding study. The docking of the drug was performed using both 18α- and 18β-epimers of GLR and the conformations and potential energy of interaction (ΔE) of the different drug-protein complexes were compared. The N-glycans do not shield the drug binding sites on boxes A and B but can modulate the drug-protein interaction, via both direct and indirect effects. The calculations indicate that binding of 18α/β-GLR to the HMG box is generally reduced when the protein is N-glycosylated vs. the non-glycosylated protein. In particular, the N-glycans in an extended configuration significantly weaken the binding of GLR to box-B. The effects of the N-glycans are mostly indirect, but in one case a direct contact with the drug, via a carbohydrate-carbohydrate interaction, was observed with 18β-GLR bound to Box-B of glycosylated HMGB1. For the first time, it is shown (at least in silico) that N-glycosylation, one of the many post-translational modifications of HMGB1, can affect drug binding.     

Protein digestion optimization for characterization of drug-protein adducts using response surface modeling

The formation of drug-protein adducts in vivo may have important clinical and toxicological implications. Consequently, there is a great interest in the detection of these adducts and the elucidation of their role in the processes leading to adverse and idiosyncratic drug reactions. Enzymatic digestion is a crucial step in bottom-up proteomics strategies for the analysis of drug-protein adducts. The chosen proteolytic enzyme and digestion conditions have a large influence on the protein coverage of the modified protein and identification of its modification site. In this work, the enzymatic digestion conditions (pH, temperature and time) of trypsin and thermolysin were optimized specifically for the characterization of Human Serum Albumin (HSA) adducts. Using a Design of Experiments (DOE), it was found that of the three optimized parameters mainly pH and temperature showed strong effects on both responses. The optimized digestion conditions were different from those obtained from the suppliers or literature. Their application to HSA adducts resulted in improved protein coverage and signal intensity regarding the peptide containing the modification site, thereby highlighting the importance of a detailed optimization of digestion conditions.     

Photobinding of carprofen to protein

Carprofen is a non-steroidal antiinflammatory drug with marked photosensitising properties. In order to elucidate the mechanisms underlying the phenomenon of drug-protein photobinding, mixtures of the drug and human serum albumin were irradiated under different experimental conditions. After irradiation and subsequent gel-filtration chromatography of the photomixture, the eluting protein fraction was analysed by means of fluorescence spectroscopy. The formation of drug-protein photoadducts could be evidenced by the characteristic emission properties of the carbazole chromophore. The photobinding of the drug to human serum albumin appears to involve the formation of aryl radicals resulting from carbon-halogen photocleavage. This mechanistic interpretation is supported by the observed variations in the intensity of the fluorescence spectra, which can be correlated with the lower quantum yield emission of chlorocarbazoles as compared to non-halogenated analogues. The results from laser flash photolysis studies are also in agreement with this proposal.     

Kernel-based data fusion improves the drug-protein interaction prediction

Proteins are involved in almost every action of every organism by interacting with other small molecules including drugs. Computationally predicting the drug-protein interactions is particularly important in speeding up the process of developing novel drugs. To borrow the information from existing drug-protein interactions, we need to define the similarity among proteins and the similarity among drugs. Usually these similarities are defined based on one single data source and many methods have been proposed. However, the availability of many genomic and chemogenomic data sources allows us to integrate these useful data sources to improve the predictions. Thus a great challenge is how to integrate these heterogeneous data sources. Here, we propose a kernel-based method to predict drug-protein interactions by integrating multiple types of data. Specially, we collect drug pharmacological and therapeutic effects, drug chemical structures, and protein genomic information to characterize the drug-target interactions, then integrate them by a kernel function within a support vector machine (SVM)-based predictor. With this data fusion technology, we establish the drug-protein interactions from a collections of data sources. Our new method is validated on four classes of drug target proteins, including enzymes, ion channels (ICs), G-protein couple receptors (GPCRs), and nuclear receptors (NRs). We find that every single data source is predictive and integration of different data sources allows the improvement of accuracy, i.e., data integration can uncover more experimentally observed drug-target interactions upon the same levels of false positive rate than single data source based methods. The functional annotation analysis indicates that our new predictions are worthy of future experimental validation. In conclusion, our new method can efficiently integrate diverse data sources, and will promote the further research in drug discovery.     

Single run measurements of drug-protein binding by high-performance frontal analysis capillary electrophoresis and mass spectrometry

A novel drug-protein binding measurement method based on high-performance frontal analysis and capillary electrophoresis (HPFA/CE) is presented. A single run measurement approach is proposed to circumvent utilization of a calibration curve that is often performed with HPFA. A sensitive mass spectrometer is applied as a detector enabling the measurement of in vitro protein binding at lower drug concentrations. Unbound free fraction and binding constants can be determined by a single run measurement by consecutive injections of an internal drug standard, a buffer plug and a drug-protein mixture. Effects of injection volumes on peak height and plateau profile were investigated in two different separation systems, non-volatile buffer and volatile buffer, with UV and mass spectrometry detection, respectively. A simplified one-to-one binding model is employed to evaluate the proposed method by using both single and multiple drug concentrations to measure the unbound free fraction and calculate the binding constants of some selected compounds. The method is suitable for rapid and direct screening of the binding of a drug to a specific protein or drug-plasma protein binding.     

Raman spectroscopic characterization of secondary structure in natively unfolded proteins: alpha-synuclein

The application of Raman spectroscopy to characterize natively unfolded proteins has been underdeveloped, even though it has significant technical advantages. We propose that a simple three-component band fitting of the amide I region can assist in the conformational characterization of the ensemble of structures present in natively unfolded proteins. The Raman spectra of alpha-synuclein, a prototypical natively unfolded protein, were obtained in the presence and absence of methanol, sodium dodecyl sulfate (SDS), and hexafluoro-2-propanol (HFIP). Consistent with previous CD studies, the secondary structure becomes largely alpha-helical in HFIP and SDS and predominantly beta-sheet in 25% methanol in water. In SDS, an increase in alpha-helical conformation is indicated by the predominant Raman amide I marker band at 1654 cm(-1) and the typical double minimum in the CD spectrum. In 25% HFIP the amide I Raman marker band appears at 1653 cm(-1) with a peak width at half-height of approximately 33 cm(-1), and in 25% methanol the amide I Raman band shifts to 1667 cm(-1) with a peak width at half-height of approximately 26 cm(-1). These well-characterized structural states provide the unequivocal assignment of amide I marker bands in the Raman spectrum of alpha-synuclein and by extrapolation to other natively unfolded proteins. The Raman spectrum of monomeric alpha-synuclein in aqueous solution suggests that the peptide bonds are distributed in both the alpha-helical and extended beta-regions of Ramachandran space. A higher frequency feature of the alpha-synuclein Raman amide I band resembles the Raman amide I band of ionized polyglutamate and polylysine, peptides which adopt a polyproline II helical conformation. Thus, a three-component band fitting is used to characterize the Raman amide I band of alpha-synuclein, phosvitin, alpha-casein, beta-casein, and the non-A beta component (NAC) of Alzheimer's plaque. These analyses demonstrate the ability of Raman spectroscopy to characterize the ensemble of secondary structures present in natively unfolded proteins.     

4',5,7-三羟基二氢黄酮与人血清白蛋白相互作用的光谱学研究

应用紫外吸收光谱、荧光光谱和红外光谱等方法对人血清白蛋白(HSA)与4',5,7-三羟基二氢黄酮(naringenin, NAR)相互作用的机理进行了研究. 紫外光谱显示, 在生理pH下NAR分子中A环7位的酚羟基发生部分解离, 7位酚羟基的解离使A环与B环上羰基形成的共轭体系的紫外吸收峰发生明显红移; 药物与蛋白质的相互作用使该谱带发生了进一步的红移, 说明该共轭体系参与了与蛋白质的相互作用. 在药物与蛋白质浓度比(c_NAR/c_HSA)为0.1～10 的范围内, NAR在HSA上只有一个结合位点(可能位于site I), 结合常数为1.27×10⁵ L•mol^－1 (n＝5, RSD小于5%). 研究了不同pH值条件下药物对蛋白质荧光猝灭的影响, 发现药物分子中的没有解离的活性基团在结合过程中发挥着主导作用. 在缓冲水溶液和重水溶液中分别测定了与药物作用前后蛋白质二级结构的变化. 随着药物浓度的增加, NAR和HSA之间的相互作用使HSA的α-螺旋结构的含量明显降低, 而β-折叠和β-转角结构的含量增加, 无轨结构在药物浓度较高时也有少量的增加. 结合紫外吸收光谱、荧光光谱和红外光谱结果, 探讨了HSA与NAR相互作用的模式.