理论预测可能的ESIPT在N-质子左边形状的水性介质中的基因组
Periasamy Rithika1, Thangaiyan Sriram1, Kuppusamy Chandru1
1Clinical Chemistry and Molecular Modeling Laboratory, Department of Chemistry and Biotechnology, School of Chemical and Biotechnology, SASTRA Deemed University, Thanjavur, India.
概括
这项研究理论上预测了激发状态分子内质子转移 (ESIPT) 在质子化组胺中. 这种神经递质在水溶液中经历了快速的质子转移,导致显著的光谱变化.
科学领域:
- 计算化学计算化学
- 摄影化学的使用.
- 生物化学 生物化学
背景情况:
- 关键的神经递质 - - 海斯胺在生理条件下存在于质子化状态.
- 了解质子化组胺的光物理行为对于生物和化学应用至关重要.
研究的目的:
- 理论上研究激发状态分子内质子转移 (ESIPT) 在水相中的N-质子化形基因组胺中的可能性.
- 阐明ESIPT在质子化组胺中的机制和动力学.
主要方法:
- 量子化学计算被用来研究电子结构和潜在能量表面.
- 波恩-奥本海默分子动力学模拟用于确定反应时间表.
主要成果:
- 理论预测证实了ESIPT在质子化组胺中,与从氨基团转移到伊米达环中的质子转移.
- 低的激活能量 (5.1 kcal/mol) 和短的反应时间 (约. 203 fs) 已被计算出来.
- 观察到显著的红移辐射 (从~315nm到~407nm),这是ESIPT的特征.
结论:
- 在水溶液中的质子化组胺可以经历激发状态的分子内质子转移.
- 计算的ESIPT动态和光谱转移与类似系统的实验观测一致.
- 这一发现为生物相关分子的光化学提供了洞察力.
相关概念视频
Chemical Reactions in Aqueous Solutions
72.4K
Chemical substances interact in many different ways. Certain chemical reactions exhibit common patterns of reactivity. Due to the vast number of chemical reactions, it becomes necessary to classify them based on the observed patterns of interaction.
72.4K
Aqueous Solutions and Heats of Hydration
17.9K
Water and other polar molecules are attracted to ions. The electrostatic attraction between an ion and a molecule with a dipole is called an ion-dipole attraction. These attractions play an important role in the dissolution of ionic compounds in water.
When ionic compounds dissolve in water, the ions in the solid separate and disperse uniformly throughout the solution because water molecules surround and solvate the ions, reducing the strong electrostatic forces between them. This process...
When ionic compounds dissolve in water, the ions in the solid separate and disperse uniformly throughout the solution because water molecules surround and solvate the ions, reducing the strong electrostatic forces between them. This process...
17.9K
Theoretical Foundations of Nursing Practice
17.4K
Theories play an essential role in organizing patient care. Theories refer to a proposed or followed belief, policy, or procedure that is the basis for action. Nursing theories are knowledge-based concepts that guide nurses' actions, influence nursing education and practice, and allow nurses to care for their patients.
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
Theories provide a perspective to assess patients' conditions and organize data and methods. They also assist in analyzing and interpreting information. They represent a...
17.4K
Theoretical Approaches to Psychological Disorder
849
The development of psychological disorders, which are characterized by deviant, maladaptive, and personally distressing behaviors, has been explored through several theoretical approaches.
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
Biological approach
The biological approach posits that internal, organic factors are the primary causes of such disorders. This perspective emphasizes brain structure and function, genetic predispositions, and neurotransmitter imbalances. For example, schizophrenia has been associated with both genetic...
849
Predicting Molecular Geometry
45.8K
VSEPR Theory for Determination of Electron Pair Geometries
45.8K
Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K


