AIMC Topic: Antimicrobial Peptides

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Discovery of antimicrobial peptides in the global microbiome with machine learning.

Cell Jun 5, 2024
Novel antibiotics are urgently needed to combat the antibiotic-resistance crisis. We present a machine-learning-based approach to predict antimicrobial peptides (AMPs) within the global microbiome and leverage a vast dataset of 63,410 metagenomes and...
Humans Bacteria Gastrointestinal Microbiome Antimicrobial Peptides Animals Metagenome Mice Microbiota Machine Learning Anti-Bacterial Agents
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AMP-RNNpro: a two-stage approach for identification of antimicrobials using probabilistic features.

Scientific reports Jun 5, 2024
Antimicrobials are molecules that prevent the formation of microorganisms such as bacteria, viruses, fungi, and parasites. The necessity to detect antimicrobial peptides (AMPs) using machine learning and deep learning arises from the need for efficie...
Anti-Infective Agents Deep Learning Antimicrobial Peptides Neural Networks, Computer Machine Learning
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An efficient hybrid deep learning architecture for predicting short antimicrobial peptides.

Proteomics Jun 4, 2024
Short-length antimicrobial peptides (AMPs) have been demonstrated to have intensified antimicrobial activities against a wide spectrum of microbes. Therefore, exploration of novel and promising short AMPs is highly essential in developing various typ...
Computational Biology Neural Networks, Computer Antimicrobial Cationic Peptides Antimicrobial Peptides Deep Learning
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Structure-aware machine learning strategies for antimicrobial peptide discovery.

Scientific reports May 25, 2024
Machine learning models are revolutionizing our approaches to discovering and designing bioactive peptides. These models often need protein structure awareness, as they heavily rely on sequential data. The models excel at identifying sequences of a p...
Antimicrobial Peptides Protein Conformation, alpha-Helical Drug Discovery Models, Molecular Machine Learning
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Predicting Antimicrobial Peptides Using ESMFold-Predicted Structures and ESM-2-Based Amino Acid Features with Graph Deep Learning.

Journal of chemical information and modeling May 13, 2024
Currently, antimicrobial resistance constitutes a serious threat to human health. Drugs based on antimicrobial peptides (AMPs) constitute one of the alternatives to address it. Shallow and deep learning (DL)-based models have mainly been built from a...
Deep Learning Models, Molecular Protein Conformation Antimicrobial Peptides Amino Acids Amino Acid Sequence
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sAMP-VGG16: Force-field assisted image-based deep neural network prediction model for short antimicrobial peptides.

Proteins Mar 23, 2024
During the last three decades, antimicrobial peptides (AMPs) have emerged as a promising therapeutic alternative to antibiotics. The approaches for designing AMPs span from experimental trial-and-error methods to synthetic hybrid peptide libraries. T...
Amino Acid Sequence Antimicrobial Peptides Computational Biology Antimicrobial Cationic Peptides Software Humans Algorithms Neural Networks, Computer Deep Learning
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Waste to resource: Mining antimicrobial peptides in sludge from metagenomes using machine learning.

Environment international Mar 11, 2024
The emergence of antibiotic-resistant bacteria poses a huge threat to the treatment of infections. Antimicrobial peptides are a class of short peptides that widely exist in organisms and are considered as potential substitutes for traditional antibio...
Machine Learning Anti-Bacterial Agents Sewage Metagenomics Bacteria Antimicrobial Peptides Metagenome
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Machine learning and genetic algorithm-guided directed evolution for the development of antimicrobial peptides.

Journal of advanced research Mar 1, 2024
INTRODUCTION: Antimicrobial peptides (AMPs) are valuable alternatives to traditional antibiotics, possess a variety of potent biological activities and exhibit immunomodulatory effects that alleviate difficult-to-treat infections. Clarifying the stru...
Antimicrobial Peptides Genetic Algorithms Penaeidae Directed Molecular Evolution Antimicrobial Cationic Peptides Structure-Activity Relationship Anti-Bacterial Agents Animals Staphylococcus aureus Lipopolysaccharides Machine Learning Microbial Sensitivity Tests Algorithms
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Machine Learning Accelerates De Novo Design of Antimicrobial Peptides.

Interdisciplinary sciences, computational life sciences Feb 28, 2024
Efficient and precise design of antimicrobial peptides (AMPs) is of great importance in the field of AMP development. Computing provides opportunities for peptide de novo design. In the present investigation, a new machine learning-based AMP predicti...
Antimicrobial Peptides Microbial Sensitivity Tests Machine Learning Amino Acid Sequence Drug Design
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Novel antimicrobial peptides against Cutibacterium acnes designed by deep learning.

Scientific reports Feb 24, 2024
The increasing prevalence of antibiotic resistance in Cutibacterium acnes (C. acnes) requires the search for alternative therapeutic strategies. Antimicrobial peptides (AMPs) offer a promising avenue for the development of new treatments targeting C....
Antimicrobial Peptides Humans Propionibacterium acnes Anti-Infective Agents Deep Learning Anti-Bacterial Agents Phylogeny Acne Vulgaris
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