Related Experiment Video
Updated: Jun 6, 2026
11:38
Quantifying the Binding Interactions Between Cu(II) and Peptide Residues in the Presence and Absence of Chromophores
Published on: April 5, 2022
Bioinformatics in bioinorganic chemistry.
Ivano Bertini1, Gabriele Cavallaro
1Magnetic Resonance Center (CERM)-University of Florence, Via L. Sacconi 6, Sesto Fiorentino, Italy. bertini@cerm.unifi.it
Metallomics : Integrated Biometal Science
|November 13, 2010
Summary
This review highlights advances in bioinformatics resources for studying metals in biological systems. It covers extracting metalloproteomes, linking structure to function, and database implementation for bioinorganic chemistry research.
Area of Science:
- Bioinformatics
- Bioinorganic Chemistry
- Life Sciences
Background:
- Modern life sciences rely on bioinformatics to analyze large datasets of genes and proteins.
- Developing databases and software tools is crucial for extracting biological knowledge from complex data.
- Bioinorganic chemistry traditionally studies metals in biological systems.
Purpose of the Study:
- To review recent advances in bioinformatics resources for studying metals in biological systems.
- To demonstrate the application of bioinformatics in bioinorganic chemistry.
- To highlight the integration of computational approaches in understanding metalloproteomes.
Main Methods:
- Extraction of metalloproteomes from genome sequences.
- Analysis of structural properties to infer biological function.
- Implementation of specialized databases for metalloprotein data.
- Bioinformatic approaches to identify metal-protein interactions.
Main Results:
- Demonstration of metalloproteome extraction from genomic data.
- Established correlations between structural features and functional roles of metalloproteins.
- Development and implementation of effective bioinformatics databases.
- Identification of potential metal-protein interactions through computational analysis.
Conclusions:
- Bioinformatics provides powerful tools for understanding metals in biological systems.
- Advances in bioinformatics resources facilitate the study of metalloproteomes and their functions.
- Computational approaches are essential for the future of bioinorganic chemistry research.
Related Concept Videos
01:22Inorganic Nitrogen Assimilation
Nitrogen is an essential element in biological systems, forming a crucial component of proteins, nucleic acids, and other cellular constituents. Many bacteria and archaea acquire nitrogen in the form of nitrate (NO₃⁻) or ammonia (NH₃), which are then assimilated into biomolecules through specific enzymatic pathways.Assimilatory Nitrate ReductionWhen nitrate enters the cell, it undergoes a two-step reduction process known as assimilatory nitrate reduction. Initially, the enzyme nitrate reductase...
02:35Noncovalent Attractions in Biomolecules
Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
02:35Noncovalent Attractions in Biomolecules
Noncovalent attractions are associations within and between molecules that influence the shape and structural stability of complexes. These interactions differ from covalent bonding in that they do not involve sharing of electrons.
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
Four types of noncovalent interactions are hydrogen bonds, van der Waals forces, ionic bonds, and hydrophobic interactions.
Hydrogen bonding results from the electrostatic attraction of a hydrogen atom covalently bonded to a strong-electronegative atom like oxygen,...
02:40Ligand Binding Sites
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...
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...
02:26Protein Networks
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
02:26Protein Networks
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...