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Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans
by
Figge, Marc Thilo
, Bachelot, Yann
, Solomatina, Anastasia
in
631/250
/ 631/553/2695
/ Antimicrobial peptides
/ Antimicrobial Peptides - immunology
/ Antimicrobial Peptides - metabolism
/ Antimicrobial Peptides - pharmacology
/ Bioinformatics
/ Biomedical and Life Sciences
/ Candida albicans
/ Candida albicans - drug effects
/ Candida albicans - immunology
/ Candida albicans - pathogenicity
/ Candidiasis - immunology
/ Candidiasis - microbiology
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer Simulation
/ Fungi
/ Glycoproteins
/ Host-Pathogen Interactions - immunology
/ Humans
/ Immune evasion
/ Immune Evasion - immunology
/ Immune response
/ Immune system
/ Infections
/ Life Sciences
/ Mathematical models
/ Models, Biological
/ Partial differential equations
/ Pathogens
/ Peptides
/ Simulation
/ Systems Biology
/ Therapeutic applications
2025
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Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans
by
Figge, Marc Thilo
, Bachelot, Yann
, Solomatina, Anastasia
in
631/250
/ 631/553/2695
/ Antimicrobial peptides
/ Antimicrobial Peptides - immunology
/ Antimicrobial Peptides - metabolism
/ Antimicrobial Peptides - pharmacology
/ Bioinformatics
/ Biomedical and Life Sciences
/ Candida albicans
/ Candida albicans - drug effects
/ Candida albicans - immunology
/ Candida albicans - pathogenicity
/ Candidiasis - immunology
/ Candidiasis - microbiology
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer Simulation
/ Fungi
/ Glycoproteins
/ Host-Pathogen Interactions - immunology
/ Humans
/ Immune evasion
/ Immune Evasion - immunology
/ Immune response
/ Immune system
/ Infections
/ Life Sciences
/ Mathematical models
/ Models, Biological
/ Partial differential equations
/ Pathogens
/ Peptides
/ Simulation
/ Systems Biology
/ Therapeutic applications
2025
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Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans
by
Figge, Marc Thilo
, Bachelot, Yann
, Solomatina, Anastasia
in
631/250
/ 631/553/2695
/ Antimicrobial peptides
/ Antimicrobial Peptides - immunology
/ Antimicrobial Peptides - metabolism
/ Antimicrobial Peptides - pharmacology
/ Bioinformatics
/ Biomedical and Life Sciences
/ Candida albicans
/ Candida albicans - drug effects
/ Candida albicans - immunology
/ Candida albicans - pathogenicity
/ Candidiasis - immunology
/ Candidiasis - microbiology
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Computer Simulation
/ Fungi
/ Glycoproteins
/ Host-Pathogen Interactions - immunology
/ Humans
/ Immune evasion
/ Immune Evasion - immunology
/ Immune response
/ Immune system
/ Infections
/ Life Sciences
/ Mathematical models
/ Models, Biological
/ Partial differential equations
/ Pathogens
/ Peptides
/ Simulation
/ Systems Biology
/ Therapeutic applications
2025
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Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans
Journal Article
Complex-mediated evasion: modeling defense against antimicrobial peptides with application to human-pathogenic fungus Candida albicans
2025
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Overview
Understanding the complex interplay between host and pathogen during infection is critical for developing diagnostics and improving therapeutic interventions. Among the diverse arsenal employed by the host, antimicrobial peptides (AMP) play a key role in the defense against pathogens. We propose an immune evasion mechanism termed “Complex-mediated evasion” (CME), that allows pathogens to protect themselves against AMP and investigate it through mathematical modeling and computer simulations. To achieve CME, we hypothesize that the pathogen secretes defense molecules that bind AMP. When bound within the complex, AMP are unable to harm the pathogen. Due to molecular gradients, complexes may diffuse away from the pathogen, enhancing the protective effect of the mechanism by decreasing the concentration of AMP in the vicinity of the pathogen. We establish a mathematical model to (i) explore the sensitivity of the mechanism to various parameters and (ii) simulate the immune evasion of the human-pathogenic fungus
Candida albicans
.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ Antimicrobial Peptides - immunology
/ Antimicrobial Peptides - metabolism
/ Antimicrobial Peptides - pharmacology
/ Biomedical and Life Sciences
/ Candida albicans - drug effects
/ Candida albicans - immunology
/ Candida albicans - pathogenicity
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Fungi
/ Host-Pathogen Interactions - immunology
/ Humans
/ Partial differential equations
/ Peptides
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