• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

拉曼光谱技术用于研究蛋白质的潜力。

Potential of Raman spectroscopic techniques to study proteins.

作者信息

Kuhar Nikki, Sil Sanchita, Umapathy Siva

机构信息

Department of Inorganic and Physical Chemistry, Indian Institute of Science, Bengaluru 560 012, Karnataka, India.

Department of Inorganic and Physical Chemistry, Indian Institute of Science, Bengaluru 560 012, Karnataka, India; Defence Bioengineering and Electromedical Laboratory (DEBEL), Defence Research and Development Organization (DRDO), C V Raman Nagar, Bangalore 560 093, Karnataka, India.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2021 Sep 5;258:119712. doi: 10.1016/j.saa.2021.119712. Epub 2021 Apr 20.

DOI:10.1016/j.saa.2021.119712
PMID:33965670
Abstract

Proteins are large, complex molecules responsible for various biological processes. However, protein misfolding may lead to various life-threatening diseases. Therefore, it is vital to understand the shape and structure of proteins. Despite numerous techniques, a mechanistic understanding of the protein folding process is still unclear. Therefore, new techniques are continually being explored. In the present article, we have discussed the importance of Raman spectroscopy, Raman Optical Activity (ROA) and various other advancements in Raman spectroscopy to understand protein structure and conformational changes based on the review of our earlier work and recent literature. A Raman spectrum of a protein provides unique signatures for various secondary structures like helices, beta-sheets, turns, random structures, etc., and various amino acid residues such as tyrosine, tryptophan, and phenylalanine. We have shown how Raman spectra can differentiate between bovine serum albumin (BSA) and lysozyme protein based on their difference in sequence and structure (primary, secondary and tertiary). Although it is challenging to elucidate the structure of a protein using a Raman spectrum alone, Raman spectra can be used to differentiate small changes in conformations of proteins such as BSA during melting. Various new advancements in technique and data analyses in Raman spectroscopic studies of proteins have been discussed. The last part of the review focuses on the importance of the ROA spectrum to understand additional features about proteins. The ROA spectrum is rich in information about the protein backbone due to its rigidity compared to its side chains. Furthermore, the ROA spectra of lysozyme and BSA have been presented to show how ROA provides extra information about the solvent properties of proteins.

摘要

蛋白质是负责各种生物过程的大型复杂分子。然而,蛋白质错误折叠可能导致各种危及生命的疾病。因此,了解蛋白质的形状和结构至关重要。尽管有众多技术,但对蛋白质折叠过程的机理理解仍不清楚。因此,新技术不断被探索。在本文中,基于我们早期的工作和近期文献的综述,我们讨论了拉曼光谱、拉曼光学活性(ROA)以及拉曼光谱的各种其他进展在理解蛋白质结构和构象变化方面的重要性。蛋白质的拉曼光谱为各种二级结构(如螺旋、β-折叠、转角、无规结构等)以及各种氨基酸残基(如酪氨酸、色氨酸和苯丙氨酸)提供独特的特征。我们展示了拉曼光谱如何根据牛血清白蛋白(BSA)和溶菌酶蛋白质在序列和结构(一级、二级和三级)上的差异来区分它们。尽管仅使用拉曼光谱阐明蛋白质的结构具有挑战性,但拉曼光谱可用于区分蛋白质(如BSA)在熔化过程中构象的微小变化。本文讨论了蛋白质拉曼光谱研究中技术和数据分析的各种新进展。综述的最后一部分重点介绍了ROA光谱在理解蛋白质其他特征方面的重要性。由于ROA光谱中蛋白质主链相对于其侧链具有刚性,因此它富含有关蛋白质主链的信息。此外,还展示了溶菌酶和BSA的ROA光谱,以说明ROA如何提供有关蛋白质溶剂性质的额外信息。

相似文献

1
Potential of Raman spectroscopic techniques to study proteins.拉曼光谱技术用于研究蛋白质的潜力。
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Sep 5;258:119712. doi: 10.1016/j.saa.2021.119712. Epub 2021 Apr 20.
2
Vibrational Raman optical activity of alpha-lactalbumin: comparison with lysozyme, and evidence for native tertiary folds in molten globule states.α-乳白蛋白的振动拉曼光学活性:与溶菌酶的比较以及熔融球状状态下天然三级结构的证据
J Mol Biol. 1995 Dec 8;254(4):747-60. doi: 10.1006/jmbi.1995.0652.
3
Residual structure in unfolded proteins revealed by Raman optical activity.拉曼光学活性揭示未折叠蛋白质中的残余结构
Biochemistry. 1996 Sep 24;35(38):12518-25. doi: 10.1021/bi961314v.
4
Raman optical activity characterization of native and molten globule states of equine lysozyme: comparison with hen lysozyme and bovine alpha-lactalbumin.马溶菌酶天然态和熔球态的拉曼光学活性表征:与鸡溶菌酶和牛α-乳白蛋白的比较
Biopolymers. 2000;57(4):235-48. doi: 10.1002/1097-0282(2000)57:4<235::AID-BIP5>3.0.CO;2-H.
5
The Influence of the Amino Acid Side Chains on the Raman Optical Activity Spectra of Proteins.氨基酸侧链对蛋白质拉曼光学活性光谱的影响。
Chemphyschem. 2019 Jan 7;20(1):42-54. doi: 10.1002/cphc.201800924. Epub 2018 Nov 12.
6
Raman optical activity of proteins, carbohydrates and glycoproteins.蛋白质、碳水化合物和糖蛋白的拉曼光学活性。
Chirality. 2006 Feb;18(2):103-15. doi: 10.1002/chir.20225.
7
Is polyproline II helix the killer conformation? A Raman optical activity study of the amyloidogenic prefibrillar intermediate of human lysozyme.聚脯氨酸II螺旋是致命构象吗?人溶菌酶淀粉样前原纤维中间体的拉曼光学活性研究。
J Mol Biol. 2000 Aug 11;301(2):553-63. doi: 10.1006/jmbi.2000.3981.
8
Raman optical activity: a tool for protein structure analysis.拉曼光学活性:一种蛋白质结构分析工具。
Structure. 2005 Oct;13(10):1409-19. doi: 10.1016/j.str.2005.07.009.
9
Ramachandran mapping of peptide conformation using a large database of computed Raman and Raman optical activity spectra.利用大量计算拉曼光谱和拉曼光学活性光谱数据库对肽构象进行拉马钱德兰图谱分析。
Phys Chem Chem Phys. 2016 Nov 23;18(46):31757-31768. doi: 10.1039/c6cp05862k.
10
Vibrational Raman optical activity of proteins, nucleic acids, and viruses.蛋白质、核酸和病毒的振动拉曼光学活性。
Methods. 2003 Feb;29(2):196-209. doi: 10.1016/s1046-2023(02)00310-9.

引用本文的文献

1
Photoinduced Immobilization on Two-Dimensional Nano Borophene Spatially Orients Capture Antibody for Highly Sensitive Biological Interactions.二维纳米硼烯上的光诱导固定化可空间定向捕获抗体,用于高灵敏度生物相互作用。
ACS Cent Sci. 2025 Jul 17;11(8):1492-1511. doi: 10.1021/acscentsci.5c00474. eCollection 2025 Aug 27.
2
Surface Functionalization of Nanoparticles for Enhanced Electrostatic Adsorption of Biomolecules.用于增强生物分子静电吸附的纳米颗粒表面功能化
Molecules. 2025 Jul 30;30(15):3206. doi: 10.3390/molecules30153206.
3
Lung cancer diagnosis through extracellular vesicle analysis using label-free surface-enhanced Raman spectroscopy coupled with machine learning.
通过使用无标记表面增强拉曼光谱结合机器学习的细胞外囊泡分析进行肺癌诊断。
Theranostics. 2025 Jun 23;15(15):7545-7566. doi: 10.7150/thno.110178. eCollection 2025.
4
Structural and Spectroscopic Characterization of a Histidine-Containing Tetrapeptide Crystallized with Copper Chloride.与氯化铜结晶的含组氨酸四肽的结构与光谱表征
ACS Omega. 2025 Jul 4;10(27):29647-29653. doi: 10.1021/acsomega.5c03327. eCollection 2025 Jul 15.
5
Approaches for Measuring and Predicting Fouling During Thermal Processing of Dairy Solutions.乳制品溶液热处理过程中污垢测量与预测方法
Compr Rev Food Sci Food Saf. 2025 Jul;24(4):e70209. doi: 10.1111/1541-4337.70209.
6
Mycosynthesis of zinc oxide nanoparticles using Mucor racemosus with their antimicrobial, antibiofilm, anticancer and antioxidant activities.利用总状毛霉进行氧化锌纳米颗粒的真菌合成及其抗菌、抗生物膜、抗癌和抗氧化活性
Sci Rep. 2025 May 29;15(1):18772. doi: 10.1038/s41598-025-03421-w.
7
Cancer Cell Line Classification Using Raman Spectroscopy of Cancer-Derived Exosomes and Machine Learning.利用癌症衍生外泌体的拉曼光谱和机器学习进行癌细胞系分类
Anal Chem. 2025 Apr 8;97(13):7289-7298. doi: 10.1021/acs.analchem.4c06966. Epub 2025 Mar 27.
8
First Vibrational Fingerprint of Protein via Surface-Enhanced Raman Spectroscopy.通过表面增强拉曼光谱法获得的蛋白质首个振动指纹图谱。
Biosensors (Basel). 2025 Mar 13;15(3):182. doi: 10.3390/bios15030182.
9
Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning.利用机器学习实现椭圆偏振光谱仪中氨基酸鉴定的自动化。
PLoS One. 2025 Jan 17;20(1):e0317130. doi: 10.1371/journal.pone.0317130. eCollection 2025.
10
The Aβ:Aβ ratio modulates aggregation in beta-amyloid oligomers and drives metabolic changes and cellular dysfunction.Aβ与Aβ的比例调节β-淀粉样蛋白寡聚体的聚集,并引发代谢变化和细胞功能障碍。
Front Cell Neurosci. 2024 Dec 5;18:1516093. doi: 10.3389/fncel.2024.1516093. eCollection 2024.