2020
DOI: 10.1021/acs.inorgchem.0c00367
|View full text |Cite
|
Sign up to set email alerts
|

Gallium as an Antibacterial Agent: A DFT/SMD Study of the Ga3+/Fe3+ Competition for Binding Bacterial Siderophores

Abstract: The urgency of finding novel antibacterial drugs (not only antibiotics), exhibiting different mechanisms of therapeutic action, is significant and has served as a premise for recognizing bacteria's siderophores as a plausible drug target. Bacteria secrete siderophores in order to sequester iron(III) from the surrounding medium by binding the essential metal with high affinity. Gallium, on the other hand, is an "abiogenic" ion, known for its anticancer, antibacterial, and anti-inflammatory action. The rationale… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
19
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
10

Relationship

3
7

Authors

Journals

citations
Cited by 42 publications
(20 citation statements)
references
References 67 publications
1
19
0
Order By: Relevance
“…Ab initio and DFT calculations are very trustworthy in reproducing geometries in biological systems and revealing the thermodynamic interactions between the building components of the studied systems. The main limiting factor, however, is the number of basis functions that can be computed. A widespread methodology in this case is the use of models for the amino acid residues that interact with metal cations in the studied centers in a direct manner. ,, Notably, the interactions between amino acid side chains and metal cations are electrostatic in nature (charge–charge or dipole–charge type of interactions) and are localized almost entirely in the side-chain head. The hydrocarbon linker between the headgroup and the protein backbone has a negligible contribution to the overall energetics of the metal–amino acid interaction.…”
Section: Computational Methodologymentioning
confidence: 99%
“…Ab initio and DFT calculations are very trustworthy in reproducing geometries in biological systems and revealing the thermodynamic interactions between the building components of the studied systems. The main limiting factor, however, is the number of basis functions that can be computed. A widespread methodology in this case is the use of models for the amino acid residues that interact with metal cations in the studied centers in a direct manner. ,, Notably, the interactions between amino acid side chains and metal cations are electrostatic in nature (charge–charge or dipole–charge type of interactions) and are localized almost entirely in the side-chain head. The hydrocarbon linker between the headgroup and the protein backbone has a negligible contribution to the overall energetics of the metal–amino acid interaction.…”
Section: Computational Methodologymentioning
confidence: 99%
“…Although it is exclusively a theoretical approach to the problem, the presented study is solidly based on experimental data provided in literature. This particular combination of theory and experiment has previously been found reliable when the focus is on delineating governing factors of the utmost importance between native and alien metal species in biological systems [ 29 , 30 , 31 , 32 , 33 , 34 ]. In order to more thoroughly establish the extent to which Ag + co-opts endogenous copper and where, alternatively, it is handled uniquely, we modeled the reactions of competition for binding constructs built by different types and numbers of amino acid residues, known to take part in the metal-binding centers in T1Cu proteins.…”
Section: Introductionmentioning
confidence: 98%
“…HAp has the ability to incorporate isomorphic substituents, such as magnesium (Mg), sodium (Na), strontium (Sr), silver (Ag), copper (Cu), etc., due to its flexible and stable crystalline structure [ 20 ]. The addition of antibacterial ions such as Ag [ 21 , 22 ], Cu [ 23 , 24 ], Zn [ 25 ], and Ga [ 26 ] provides antibacterial assets to CaPs. Tailoring a biomaterial with the aforementioned capacities could help to prevent bacterial growth at the surgical site after implantation.…”
Section: Introductionmentioning
confidence: 99%