|
|
|
|
|
|
Study on the Interaction Between Minocycline and Bovine Serum Albumin by Multi Spectral Method and Molecular Docking Simulation |
WANG Xiao-xia1*, NIE Zhi-hua2, MA Li-tong1, CUI Jin-long1, SAI Hua-zheng1,ZHAO Wen-yuan1 |
1. School of Chemistry and Chemical Engineering of Inner Mongolia University of Science and Technology,Baotou 014010, China
2. School of Life Sciences, Tsinghua University,Beijing 100084, China |
|
|
Abstract Minocycline (MC) is a semisynthetic tetracycline broad-spectrum antibiotic with stronger antibacterial activity, which is absorbed rapidly after oral administration, and the binding rate to serum protein ranges from 76% to 83%. The study of the binding mechanism between Bovine serum albumin (BSA) and MC is helpful to explore the interaction mechanism between MC and BSA at the molecular level, to further understand the structure and functional relationship of BSA and MC, and to provide necessary data support for the further study of pharmacological toxicity and efficacy of MC. The interaction between MC and BSA has been investigated by fluorescence spectroscopy, circular dichroism, ultraviolet spectroscopy and molecular docking simulation at different temperature and simulated physiological conditions. The results show that MC quenches the fluorescence of BSA, and the quenching constant decreases with the increase of temperature. This indicates that the quenching mechanism of MC and BSA is static quenching. The fluorescence results were calculated using the Stern-Volmer equation and the static quenching double logarithmic formula, and the results showed that the number of binding sites n between MC and BSA is close to 1. According to Van’t Hoff thermodynamic equation at 298, 303 and 308 K, the thermodynamic parameters were obtained as follows: enthalpy change ΔH=-34.14 kJ·mol-1, entropy change ΔS=32.55 J·(mol·K)-1, Gibbs free energy ΔG=-43.84 kJ·mol-1 (298 K), -43.88 kJ·mol-1 (303 K), -44.17 kJ·mol-1 (308 K), which proved that the main force between MC and BSA is the van der Waals and hydrogen bonding, and the process of its action is the spontaneous and exothermic process. Through the UV-visible absorption spectrum analysis of BSA and MC, the position of the absorption peak of BSA has a significant red shift, indicating that the conformation of BSA has changed. According to Förster’s theory of non-radiative energy transfer, the binding distance r between MC and BSA is 1.873 nm, which indicates that non-radiative energy transfer occurs between MC and BSA. In addition, the experimental results of synchronous fluorescence spectroscopy showed that the conformation of BSA changed when MC interacted with BSA, and the binding site was on tryptophan (Trp) residues. The results also showed that the conformation of BSA changed by three-dimensional fluorescence spectroscopy and circular dichroism, and (Trp) the polarity of the surrounding environment decreased and hydrophobicity increased. Quantitative analysis of secondary structure of circular dichroism before and after the interaction of MC and BSA showed that the content of alpha-helix structure in BSA was 31.75%. After adding MC gradually, the content of α-helix structure changed to 47.10% (cBSA∶cTRO=1∶1) and 54.39% (cBSA∶cTRO=1∶5), indicating that the content of α-helix structure increased, and the structure of BSA was mainly α-helix structure. Molecular docking simulation showed that MC interacts into the site I (subdomain IIA) of BSA, it forms van der Waals interaction between MC and the amino acid residues PHE508, LYS535, HIS534, PHE501, GLN579, VAL546, MET547, LEU528, PHE508 of BSA, hydrogen bonds formed between MC and the amino acid residues LYS524 and LEU531, and super conjugation also formed between MC and the amino acid residues ALA527, VAL575, LEU531, PHE508. These amino acids bind closely with MC molecules, and MC changes the secondary structure of BSA. The data obtained in this experiment are helpful to understand the interaction mechanism between MC and BSA, as well as the effect of MC on BSA conformation during storage and transportation.
|
Received: 2019-03-28
Accepted: 2019-08-14
|
|
Corresponding Authors:
WANG Xiao-xia
E-mail: wxx572369@163.com
|
|
[1] Manjanath P, Amar D, Sharanappa N, Shivamurti C, et al. Journal of Molecular Recognit., 2017, 30: 2567.
[2] Xu X, Du Z, Wu W, et al. Analytical and Bioanalytical Chemistry, 2017, 409: 5327.
[3] Samima K, Riyazuddeen. J. Chem. Thermodynamics, 2018, 126: 43.
[4] Leila K, Gholamreza D. Journal of Luminescence, 2019, 211: 193.
[5] Mallika P, Deepti S, Navneet S. Journal of Molecular Structure, 2017, 209(2): 183.
[6] Gao X, Bi H, Jia J J, et al. Luminescence,2017,32:640.
[7] Shama Y, Riyazuddeen, Gulam R. J. Therm. Anal. Calorim., 2017, 127: 1445.
[8] Anukul M, Maodul B, Amitk M, et al. Process Biochemistry,2017,27:1235.
[9] Manjanath P, Amar D, Sharanappa N, et al. Molecular Recognition, 2017,30:2567.
[10] Samima K, Riyazuddeen. Department of Chemistry, 2018, 11: 43.
[11] Arash H, Gholamreza D, Masoomeh S, et al. Journal of Molecular Liquids , 2017, 12(12): 459.
[12] WANG Xiao-xia, NIE Zhi-hua, LI Song-bo, et al(王晓霞, 聂智华, 李松波, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2018, 38(8): 2468.
[13] Prateek T, Monika T, Swati A, et al. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy,2017,171:246. |
[1] |
LEI Hong-jun1, YANG Guang1, PAN Hong-wei1*, WANG Yi-fei1, YI Jun2, WANG Ke-ke2, WANG Guo-hao2, TONG Wen-bin1, SHI Li-li1. Influence of Hydrochemical Ions on Three-Dimensional Fluorescence
Spectrum of Dissolved Organic Matter in the Water Environment
and the Proposed Classification Pretreatment Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 134-140. |
[2] |
GU Yi-lu1, 2,PEI Jing-cheng1, 2*,ZHANG Yu-hui1, 2,YIN Xi-yan1, 2,YU Min-da1, 2, LAI Xiao-jing1, 2. Gemological and Spectral Characterization of Yellowish Green Apatite From Mexico[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 181-187. |
[3] |
HAN Xue1, 2, LIU Hai1, 2, LIU Jia-wei3, WU Ming-kai1, 2*. Rapid Identification of Inorganic Elements in Understory Soils in
Different Regions of Guizhou Province by X-Ray
Fluorescence Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 225-229. |
[4] |
WANG Hong-jian1, YU Hai-ye1, GAO Shan-yun1, LI Jin-quan1, LIU Guo-hong1, YU Yue1, LI Xiao-kai1, ZHANG Lei1, ZHANG Xin1, LU Ri-feng2, SUI Yuan-yuan1*. A Model for Predicting Early Spot Disease of Maize Based on Fluorescence Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3710-3718. |
[5] |
CHENG Hui-zhu1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, MA Qian1, 2, ZHAO Yan-chun1, 2. Genetic Algorithm Optimized BP Neural Network for Quantitative
Analysis of Soil Heavy Metals in XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3742-3746. |
[6] |
SONG Yi-ming1, 2, SHEN Jian1, 2, LIU Chuan-yang1, 2, XIONG Qiu-ran1, 2, CHENG Cheng1, 2, CHAI Yi-di2, WANG Shi-feng2,WU Jing1, 2*. Fluorescence Quantum Yield and Fluorescence Lifetime of Indole, 3-Methylindole and L-Tryptophan[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3758-3762. |
[7] |
YANG Ke-li1, 2, PENG Jiao-yu1, 2, DONG Ya-ping1, 2*, LIU Xin1, 2, LI Wu1, 3, LIU Hai-ning1, 3. Spectroscopic Characterization of Dissolved Organic Matter Isolated From Solar Pond[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3775-3780. |
[8] |
LI Xiao-li1, WANG Yi-min2*, DENG Sai-wen2, WANG Yi-ya2, LI Song2, BAI Jin-feng1. Application of X-Ray Fluorescence Spectrometry in Geological and
Mineral Analysis for 60 Years[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 2989-2998. |
[9] |
XUE Fang-jia, YU Jie*, YIN Hang, XIA Qi-yu, SHI Jie-gen, HOU Di-bo, HUANG Ping-jie, ZHANG Guang-xin. A Time Series Double Threshold Method for Pollution Events Detection in Drinking Water Using Three-Dimensional Fluorescence Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3081-3088. |
[10] |
MA Qian1, 2, YANG Wan-qi1, 2, LI Fu-sheng1, 2*, CHENG Hui-zhu1, 2, ZHAO Yan-chun1, 2. Research on Classification of Heavy Metal Pb in Honeysuckle Based on XRF and Transfer Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2729-2733. |
[11] |
JIA Yu-ge1, YANG Ming-xing1, 2*, YOU Bo-ya1, YU Ke-ye1. Gemological and Spectroscopic Identification Characteristics of Frozen Jelly-Filled Turquoise and Its Raw Material[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2974-2982. |
[12] |
YANG Xin1, 2, XIA Min1, 2, YE Yin1, 2*, WANG Jing1, 2. Spatiotemporal Distribution Characteristics of Dissolved Organic Matter Spectrum in the Agricultural Watershed of Dianbu River[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2983-2988. |
[13] |
CHEN Wen-jing, XU Nuo, JIAO Zhao-hang, YOU Jia-hua, WANG He, QI Dong-li, FENG Yu*. Study on the Diagnosis of Breast Cancer by Fluorescence Spectrometry Based on Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2407-2412. |
[14] |
ZHU Yan-ping1, CUI Chuan-jin1*, CHENG Peng-fei1, 2, PAN Jin-yan1, SU Hao1, 2, ZHANG Yi1. Measurement of Oil Pollutants by Three-Dimensional Fluorescence
Spectroscopy Combined With BP Neural Network and SWATLD[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2467-2475. |
[15] |
LIU Xian-yu1, YANG Jiu-chang1, 2, TU Cai1, XU Ya-fen1, XU Chang3, CHEN Quan-li2*. Study on Spectral Characteristics of Scheelite From Xuebaoding, Pingwu County, Sichuan Province, China[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(08): 2550-2556. |
|
|
|
|