AIMC Topic: Antimicrobial Peptides

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De novo synthetic antimicrobial peptide design with a recurrent neural network.

Protein science : a publication of the Protein Society Aug 1, 2024
Antibiotic resistance is recognized as an imminent and growing global health threat. New antimicrobial drugs are urgently needed due to the decreasing effectiveness of conventional small-molecule antibiotics. Antimicrobial peptides (AMPs), a class of...
Anti-Bacterial Agents Drug Design Neural Networks, Computer Staphylococcus aureus Antimicrobial Peptides Microbial Sensitivity Tests Escherichia coli
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Structure-aware deep learning model for peptide toxicity prediction.

Protein science : a publication of the Protein Society Jul 1, 2024
Antimicrobial resistance is a critical public health concern, necessitating the exploration of alternative treatments. While antimicrobial peptides (AMPs) show promise, assessing their toxicity using traditional wet lab methods is both time-consuming...
Antimicrobial Peptides Deep Learning Hemolysis Neural Networks, Computer
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TP-LMMSG: a peptide prediction graph neural network incorporating flexible amino acid property representation.

Briefings in bioinformatics May 23, 2024
Bioactive peptide therapeutics has been a long-standing research topic. Notably, the antimicrobial peptides (AMPs) have been extensively studied for its therapeutic potential. Meanwhile, the demand for annotating other therapeutic peptides, such as a...
Algorithms Peptides Neural Networks, Computer Antimicrobial Peptides Computational Biology Amino Acids Deep Learning
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iAMPCN: a deep-learning approach for identifying antimicrobial peptides and their functional activities.

Briefings in bioinformatics Jul 20, 2023
Antimicrobial peptides (AMPs) are short peptides that play crucial roles in diverse biological processes and have various functional activities against target organisms. Due to the abuse of chemical antibiotics and microbial pathogens' increasing res...
Deep Learning Antimicrobial Cationic Peptides Algorithms Anti-Bacterial Agents Antimicrobial Peptides
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Designing antimicrobial peptides using deep learning and molecular dynamic simulations.

Briefings in bioinformatics Mar 19, 2023
With the emergence of multidrug-resistant bacteria, antimicrobial peptides (AMPs) offer promising options for replacing traditional antibiotics to treat bacterial infections, but discovering and designing AMPs using traditional methods is a time-cons...
Molecular Dynamics Simulation Gram-Negative Bacteria Gram-Positive Bacteria Antimicrobial Peptides Anti-Bacterial Agents Deep Learning Antimicrobial Cationic Peptides
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AMP-BERT: Prediction of antimicrobial peptide function based on a BERT model.

Protein science : a publication of the Protein Society Jan 1, 2023
Antimicrobial resistance is a growing health concern. Antimicrobial peptides (AMPs) disrupt harmful microorganisms by nonspecific mechanisms, making it difficult for microbes to develop resistance. Accordingly, they are promising alternatives to trad...
Machine Learning Antimicrobial Peptides
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Identification of antimicrobial peptides from the human gut microbiome using deep learning.

Nature biotechnology Jun 1, 2022
Microbiota Antimicrobial Peptides Deep Learning Gastrointestinal Microbiome Humans
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Do deep learning models make a difference in the identification of antimicrobial peptides?

Briefings in bioinformatics May 13, 2022
In the last few decades, antimicrobial peptides (AMPs) have been explored as an alternative to classical antibiotics, which in turn motivated the development of machine learning models to predict antimicrobial activities in peptides. The first genera...
Machine Learning Peptides Deep Learning Amino Acid Sequence Antimicrobial Peptides
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Accelerating the discovery of antifungal peptides using deep temporal convolutional networks.

Briefings in bioinformatics Mar 10, 2022
The application of machine intelligence in biological sciences has led to the development of several automated tools, thus enabling rapid drug discovery. Adding to this development is the ongoing COVID-19 pandemic, due to which researchers working in...
Workflow Antimicrobial Peptides Algorithms Antifungal Agents Databases, Factual Humans Deep Learning Software Reproducibility of Results Neural Networks, Computer ROC Curve Artificial Intelligence Drug Discovery
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sAMP-PFPDeep: Improving accuracy of short antimicrobial peptides prediction using three different sequence encodings and deep neural networks.

Briefings in bioinformatics Jan 17, 2022
Short antimicrobial peptides (sAMPs) belong to a significant repertoire of antimicrobial agents and are known to possess enhanced antimicrobial activity, higher stability and less toxicity to human cells, as well as less complex than other large biol...
Antimicrobial Peptides Neural Networks, Computer Humans Molecular Docking Simulation
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