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Main Authors: La Paglia, Laura, Vazzana, Mirella, Mauro, Manuela, Dumas, Francesca, Urso, Alfonso, Simon, Sugár, Drahos, Laszlo, Vizzini, Aiti
Format: Artículo científico
Language:en
Published: Marine drugs 2026
Subjects:
Online Access:https://pubmed.ncbi.nlm.nih.gov/42188293/
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author La Paglia, Laura
Vazzana, Mirella
Mauro, Manuela
Dumas, Francesca
Urso, Alfonso
Simon, Sugár
Drahos, Laszlo
Vizzini, Aiti
author_facet La Paglia, Laura
Vazzana, Mirella
Mauro, Manuela
Dumas, Francesca
Urso, Alfonso
Simon, Sugár
Drahos, Laszlo
Vizzini, Aiti
La Paglia, Laura
Vazzana, Mirella
Mauro, Manuela
Dumas, Francesca
Urso, Alfonso
Simon, Sugár
Drahos, Laszlo
Vizzini, Aiti
collection PubMed - marine biology
contents Identification of Antioxidant and Anti-Inflammatory Activity of Sea Cucumber () Active Peptides by a Combined Approach of Omics Data and Bioinformatics Analysis. La Paglia, Laura Vazzana, Mirella Mauro, Manuela Dumas, Francesca Urso, Alfonso Simon, Sugár Drahos, Laszlo Vizzini, Aiti Animals Anti-Inflammatory Agents Peptides Antioxidants Computational Biology Molecular Docking Simulation Proteomics Holothuria Molecular Dynamics Simulation Sea Cucumbers Oxidative Stress Humans Inflammatory signaling and oxidative stress machinery are interconnected and play roles in apoptosis, proliferation, redox state control, and the progression of many diseases, including cancer. The marine environment harbors a wealth of organisms that produce a wide variety of bioactive molecules with significant biological activities. Over the last decade, the advent of AI-driven approaches has enhanced the study and analysis of peptides, helping to reduce costly and time-consuming conventional laboratory testing, validation, and synthetic procedures. In this study, we predicted the antioxidative and anti-inflammatory activities of peptides isolated from proteomic data obtained from circulating cells and humoral components of the sea cucumber defense system using a bioinformatic workflow based on different artificial intelligence tools. We identified 40 top-ranked peptides with antioxidative and anti-inflammatory activity and a sub-class of eight peptides shared by FreD domains. Molecular docking and molecular dynamics simulations showed that they have active binding sites for different key molecules involved in inflammatory and oxidative processes. The results showed that the peptides highlighted by our analysis workflow can be identified as potential molecules used as therapeutic strategies for diseases by targeting both inflammatory and oxidative processes.
format Artículo científico
id pubmed_42188293
institution PubMed
language en
publishDate 2026
publisher Marine drugs
record_format pubmed
spellingShingle Identification of Antioxidant and Anti-Inflammatory Activity of Sea Cucumber () Active Peptides by a Combined Approach of Omics Data and Bioinformatics Analysis.
La Paglia, Laura
Vazzana, Mirella
Mauro, Manuela
Dumas, Francesca
Urso, Alfonso
Simon, Sugár
Drahos, Laszlo
Vizzini, Aiti
Animals
Anti-Inflammatory Agents
Peptides
Antioxidants
Computational Biology
Molecular Docking Simulation
Proteomics
Holothuria
Molecular Dynamics Simulation
Sea Cucumbers
Oxidative Stress
Humans
Identification of Antioxidant and Anti-Inflammatory Activity of Sea Cucumber () Active Peptides by a Combined Approach of Omics Data and Bioinformatics Analysis. La Paglia, Laura Vazzana, Mirella Mauro, Manuela Dumas, Francesca Urso, Alfonso Simon, Sugár Drahos, Laszlo Vizzini, Aiti Animals Anti-Inflammatory Agents Peptides Antioxidants Computational Biology Molecular Docking Simulation Proteomics Holothuria Molecular Dynamics Simulation Sea Cucumbers Oxidative Stress Humans Inflammatory signaling and oxidative stress machinery are interconnected and play roles in apoptosis, proliferation, redox state control, and the progression of many diseases, including cancer. The marine environment harbors a wealth of organisms that produce a wide variety of bioactive molecules with significant biological activities. Over the last decade, the advent of AI-driven approaches has enhanced the study and analysis of peptides, helping to reduce costly and time-consuming conventional laboratory testing, validation, and synthetic procedures. In this study, we predicted the antioxidative and anti-inflammatory activities of peptides isolated from proteomic data obtained from circulating cells and humoral components of the sea cucumber defense system using a bioinformatic workflow based on different artificial intelligence tools. We identified 40 top-ranked peptides with antioxidative and anti-inflammatory activity and a sub-class of eight peptides shared by FreD domains. Molecular docking and molecular dynamics simulations showed that they have active binding sites for different key molecules involved in inflammatory and oxidative processes. The results showed that the peptides highlighted by our analysis workflow can be identified as potential molecules used as therapeutic strategies for diseases by targeting both inflammatory and oxidative processes.
title Identification of Antioxidant and Anti-Inflammatory Activity of Sea Cucumber () Active Peptides by a Combined Approach of Omics Data and Bioinformatics Analysis.
topic Animals
Anti-Inflammatory Agents
Peptides
Antioxidants
Computational Biology
Molecular Docking Simulation
Proteomics
Holothuria
Molecular Dynamics Simulation
Sea Cucumbers
Oxidative Stress
Humans
url https://pubmed.ncbi.nlm.nih.gov/42188293/