Cooper E A, Knutson K
Department of Bioengineering, University of Utah, Salt Lake City 84112, USA.
Pharm Biotechnol. 1995;7:101-43. doi: 10.1007/978-1-4899-1079-0_3.
Infrared spectroscopy can provide insight into protein structure. This technique is sensitive to the backbone amide arrangement of peptide and protein molecules. In many cases, complementary as well as more expansive information is obtained as opposed to information obtained by other methods that examine the molecule's environmental surroundings, require molecular probes, or perhaps cannot investigate the molecule in its native environment. The foundation for spectroscopic differences between the various secondary structures arises not only from geometrical differences and hydrogen bond variations but also transition dipole coupling between neighboring oscillators. Theoretical predictions of protein spectra have been made using normal mode analysis and combined with experimental data. At present the amide I band has provided the most insight into secondary structure. Even more convincing results are obtained when both H2O and D2O are used as solvents. Recent advances in computerized technology and mathematical techniques have expanded the potential contributions of infrared spectroscopy in the area of protein structural determination. However, the limitations of resolution enhancement and curve-fitting techniques must be taken into consideration. The parameters must be carefully and optimally chosen and evaluated on a case-by-case basis. The subjectivity of these techniques makes a thorough understanding of the algorithms necessary, especially those commercially available. Infrared spectroscopy continues to provide insight into protein and peptide structures under biologically relevant conditions that enable the structure-function relationships for such molecules to be better understood.
红外光谱能够提供有关蛋白质结构的信息。该技术对肽和蛋白质分子的主链酰胺排列敏感。在许多情况下,与通过其他检查分子环境、需要分子探针或者可能无法在其天然环境中研究分子的方法所获得的信息相比,红外光谱能够获得互补且更广泛的信息。各种二级结构之间光谱差异的基础不仅源于几何差异和氢键变化,还源于相邻振荡器之间的跃迁偶极耦合。已经使用简正模式分析并结合实验数据对蛋白质光谱进行了理论预测。目前,酰胺I带为二级结构提供了最多的信息。当同时使用H2O和D2O作为溶剂时,能得到更有说服力的结果。计算机技术和数学技术的最新进展扩大了红外光谱在蛋白质结构测定领域的潜在贡献。然而,必须考虑分辨率增强和曲线拟合技术的局限性。必须根据具体情况仔细且最佳地选择和评估参数。这些技术的主观性使得透彻理解算法(尤其是那些商业可用的算法)变得必要。红外光谱继续在生物学相关条件下提供有关蛋白质和肽结构的信息,从而能够更好地理解此类分子的结构 - 功能关系。