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相关概念视频

Metal-Ligand Bonds02:51

Metal-Ligand Bonds

20.8K
The hemoglobin in the blood, the chlorophyll in green plants, vitamin B-12, and the catalyst used in the manufacture of polyethylene all contain coordination compounds. Ions of the metals, especially the transition metals, are likely to form complexes.
In these complexes, transition metals form coordinate covalent bonds, a kind of Lewis acid-base interaction in which both of the electrons in the bond are contributed by a donor (Lewis base) to an electron acceptor (Lewis acid). The Lewis acid in...
20.8K
Extraction: Advanced Methods00:56

Extraction: Advanced Methods

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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...
447
Complexation Equilibria: Factors Influencing Stability of Complexes01:09

Complexation Equilibria: Factors Influencing Stability of Complexes

369
In complexation reactions, metal cations are the electron pair acceptors, and the ligands are the electron pair donors. The stability of the metal complexes depends primarily on the complexing ability of the central metal ion and the nature of the ligands. Generally, the complexing ability of the metal ion depends on the size and charge of the ion. As the metal ion size increases, the stability of the metal complexes decreases, provided that the valency of the metal ion and the ligands remain...
369
Complexation Equilibria: The Chelate Effect01:19

Complexation Equilibria: The Chelate Effect

515
In complexation reactions, metal atoms or cations interact with ligands to form donor-acceptor adducts called metal complexes. Ligands that bind through one donor site are monodentate, ligands with two donor sites are bidentate, and those with more than two donor sites are polydentate ligands. For example, ethylene diamine is a bidentate ligand that binds through two nitrogen donor atoms, forming a five-membered ring. EDTA is a polydentate ligand that binds through four oxygen and two nitrogen...
515
Conserved Binding Sites01:49

Conserved Binding Sites

4.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
4.2K
Ligand Binding Sites02:40

Ligand Binding Sites

12.8K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
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相关实验视频

Updated: Jul 2, 2025

Ion Mobility-Mass Spectrometry Techniques for Determining the Structure and Mechanisms of Metal Ion Recognition and Redox Activity of Metal Binding Oligopeptides
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MIBPred:集成基于学习的金属离子结合蛋白质分类器

Hong-Qi Zhang1, Shang-Hua Liu1, Rui Li1

  • 1School of Life Science and Technology and Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.

ACS omega
|February 26, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了MIBPred,这是一种新型分类器,可以使用先进的自然语言处理和集合学习准确预测金属离子结合蛋白及其类型. 该工具实现了高精度,有助于了解蛋白质功能和疾病相关性.

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Analysis of AtHIRD11 Intrinsic Disorder and Binding Towards Metal Ions by Capillary Gel Electrophoresis and Affinity Capillary Electrophoresis
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科学领域:

  • 生物化学 生物化学
  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学

背景情况:

  • 金属离子结合蛋白对生物过程和疾病发展至关重要.
  • 准确预测金属离子结合蛋白及其类型对于生物研究至关重要.

研究的目的:

  • 开发一个高度准确的分类器,MIBPred,用于预测金属离子结合蛋白及其类型.
  • 为了提高蛋白质分类,利用自然语言处理和集体学习.

主要方法:

  • 使用Word2Vec从蛋白质序列中提取语义特征.
  • 综合位置特定得分矩阵 (PSSM) 的特点.
  • 采用了一个集体学习模型,结合了XGBoost,LightGBM,CatBoost和SVM投票.

主要成果:

  • 在预测金属离子结合蛋白中达到95.13%的准确性.
  • 在对金属离子结合蛋白类型的分类中获得了85.19%的准确性.
  • 证明了Word2Vec在蛋白质序列分析中的有效性.

结论:

  • MIBPred为金属离子结合蛋白预测提供了一个可靠的工具.
  • 这项研究证实了NLP技术在生物信息学中的实用性.
  • 这些发现有助于对金属离子结合蛋白的结构和功能进行更深入的探索.