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Coral-Derived Antimicrobial Peptides Identified In Silico from Acropora digitifera Transcriptomes: Potential
Paula Tatiana Uribe-Echeverry1,2, Mariana Sofia Candamil-Cortés3, Juan Rodrigo Salazar4
1Doctorado en Biotecnología, Universidad Tecnológica de Pereira, 660003, Pereira, Colombia.
Researchers identified 15 potential antimicrobial peptides (AMPs) from the Acropora digitifera coral using in silico methods. These AMPs show promise for combating antimicrobial resistance, with specific peptides demonstrating strong binding to bacterial targets.
Area of Science:
- Marine biotechnology
- Antimicrobial drug discovery
- Bioinformatics
Background:
- Antimicrobial resistance (AMR) poses a significant global health threat, necessitating novel therapeutic strategies.
- Antimicrobial peptides (AMPs) are a promising class of compounds with potential to overcome AMR due to their membrane-disrupting or intracellular inhibitory mechanisms.
- The coral genus Acropora is a rich source for discovering bioactive compounds, including AMPs.
Purpose of the Study:
- To computationally identify and characterize potential antimicrobial peptides (AMPs) from the coral Acropora digitifera.
- To evaluate the binding efficacy of identified AMPs against key bacterial targets in Gram-negative pathogens.
- To leverage in silico tools for accelerating the discovery of novel AMPs for therapeutic applications.
Main Methods:
- Transcriptomic data analysis from Acropora digitifera across various life stages and cultured cells.
- Application of bioinformatics tools including multiple sequence alignments, Hidden Markov models, and machine learning algorithms.
- In silico molecular modeling, physicochemical property assessment, and molecular docking to predict binding interactions with bacterial targets like TolC, OprM, and DNA gyrase B.
Main Results:
- Fifteen potential antimicrobial peptide sequences were identified from A. digitifera transcriptomes.
- Specific AMPs demonstrated favorable binding affinities to bacterial protein targets: AMP-Ad2 to E. coli TolC, AMP-Ad3 to P. aeruginosa OprM, and AMP-Ad15 to K. pneumoniae TolC.
- AMP-Ad15 exhibited the strongest overall binding interaction with DNA gyrase B from K. pneumoniae.
Conclusions:
- In silico prediction tools are effective for identifying potential AMP candidates from coral transcriptomes.
- Identified AMPs from A. digitifera show therapeutic potential against resistant Gram-negative bacteria.
- These findings provide a foundation for synthesizing and experimentally validating these AMPs for antimicrobial drug development.
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