UV Absorption Spectra of TAMRA and TAMRA Labeled Peptides: A Combined Density Functional Theory and Classical Molecular Dynamics Study

IF 4.8 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY Journal of Computational Chemistry Pub Date : 2025-03-31 DOI:10.1002/jcc.70096
Mercedes Kukulka, Barbara Pem, Katarina Vazdar, Lukasz Cwiklik, Mario Vazdar
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Abstract

This study explores the structural and electronic factors affecting the absorption spectra of 5-carboxy-tetramethylrhodamine (TAMRA) in water, a widely used fluorophore in imaging and molecular labeling in biophysical studies. Through molecular dynamics (MD) simulations and density functional theory (DFT) calculations, we examine TAMRA UV absorption spectra together with TAMRA-labeled peptides (Arg9, Arg4, Lys9). We found that DFT calculations with different functionals underestimate TAMRA maximum UV absorption peak by ~100 nm, resulting in the maximum at ca. 450 nm instead of the experimental value of ca. 550 nm. However, incorporating MD simulation snapshots of TAMRA in water, the UV maximum peak shifts and is in close agreement with the experimental results due to the rotation of TAMRA N(CH3)2 groups, effectively captured in MD simulations. The method is used to estimate the UV absorption spectra of TAMRA-labeled peptides, matching experimental values.

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TAMRA和TAMRA标记肽的紫外吸收光谱:密度泛函理论和经典分子动力学的结合研究
5-羧基四甲基罗丹明(TAMRA)是生物物理研究中广泛应用于成像和分子标记的荧光基团,本研究探讨了影响TAMRA在水中吸收光谱的结构和电子因素。通过分子动力学(MD)模拟和密度泛函理论(DFT)计算,我们研究了TAMRA与TAMRA标记肽(Arg9, Arg4, Lys9)的紫外吸收光谱。我们发现,不同泛函的DFT计算将TAMRA的最大紫外吸收峰低估了约100 nm,导致TAMRA的最大紫外吸收峰出现在约450 nm处,而不是实验值约550 nm。然而,结合水中TAMRA的MD模拟快照,由于在MD模拟中有效捕获的TAMRA N(CH3)2基团的旋转,紫外最大峰发生了位移,并且与实验结果非常吻合。该方法用于估计tamra标记肽的紫外吸收光谱,与实验值相匹配。
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来源期刊
CiteScore
6.60
自引率
3.30%
发文量
247
审稿时长
1.7 months
期刊介绍: This distinguished journal publishes articles concerned with all aspects of computational chemistry: analytical, biological, inorganic, organic, physical, and materials. The Journal of Computational Chemistry presents original research, contemporary developments in theory and methodology, and state-of-the-art applications. Computational areas that are featured in the journal include ab initio and semiempirical quantum mechanics, density functional theory, molecular mechanics, molecular dynamics, statistical mechanics, cheminformatics, biomolecular structure prediction, molecular design, and bioinformatics.
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