AIMC Topic: Antimicrobial Peptides

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AI-guided few-shot inverse design of HDP-mimicking polymers against drug-resistant bacteria.

Nature communications Jul 26, 2024
Host defense peptide (HDP)-mimicking polymers are promising therapeutic alternatives to antibiotics and have large-scale untapped potential. Artificial intelligence (AI) exhibits promising performance on large-scale chemical-content design, however, ...
Antimicrobial Peptides Bacteria Polymers Anti-Bacterial Agents Drug Resistance, Bacterial Drug Design Microbial Sensitivity Tests Artificial Intelligence
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deepAMPNet: a novel antimicrobial peptide predictor employing AlphaFold2 predicted structures and a bi-directional long short-term memory protein language model.

PeerJ Jul 19, 2024
BACKGROUND: Global public health is seriously threatened by the escalating issue of antimicrobial resistance (AMR). Antimicrobial peptides (AMPs), pivotal components of the innate immune system, have emerged as a potent solution to AMR due to their t...
Computational Biology Humans Antimicrobial Peptides Neural Networks, Computer
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Ensemble Machine Learning and Predicted Properties Promote Antimicrobial Peptide Identification.

Interdisciplinary sciences, computational life sciences Jul 7, 2024
The emergence of antibiotic-resistant microbes raises a pressing demand for novel alternative treatments. One promising alternative is the antimicrobial peptides (AMPs), a class of innate immunity mediators within the therapeutic peptide realm. AMPs ...
Neural Networks, Computer Deep Learning Computational Biology Antimicrobial Peptides Machine Learning Algorithms
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Deep-learning-enabled antibiotic discovery through molecular de-extinction.

Nature biomedical engineering Jun 11, 2024
Molecular de-extinction aims at resurrecting molecules to solve antibiotic resistance and other present-day biological and biomedical problems. Here we show that deep learning can be used to mine the proteomes of all available extinct organisms for t...
Deep Learning Microbial Sensitivity Tests Proteome Antimicrobial Peptides Mice Animals Neural Networks, Computer Drug Discovery Anti-Bacterial Agents
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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...
Antimicrobial Peptides Metagenome Mice Bacteria Gastrointestinal Microbiome Microbiota Anti-Bacterial Agents Animals Humans Machine Learning
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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...
Neural Networks, Computer Machine Learning Antimicrobial Peptides Anti-Infective Agents Deep 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...
Neural Networks, Computer Deep Learning Antimicrobial Peptides Computational Biology Antimicrobial Cationic Peptides
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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 Drug Discovery Models, Molecular Protein Conformation, alpha-Helical 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...
Amino Acids Amino Acid Sequence Protein Conformation Antimicrobial Peptides Deep Learning Models, Molecular
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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...
Antimicrobial Cationic Peptides Amino Acid Sequence Deep Learning Computational Biology Antimicrobial Peptides Software Humans Algorithms Neural Networks, Computer
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