AIMC Topic: Antimicrobial Peptides

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Models and data of AMPlify: a deep learning tool for antimicrobial peptide prediction.

BMC research notes Feb 2, 2023
OBJECTIVES: Antibiotic resistance is a rising global threat to human health and is prompting researchers to seek effective alternatives to conventional antibiotics, which include antimicrobial peptides (AMPs). Recently, we have reported AMPlify, an a...
Deep Learning Amino Acid Sequence Antimicrobial Peptides Anti-Bacterial Agents Animals Rana catesbeiana
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Feedback-AVPGAN: Feedback-guided generative adversarial network for generating antiviral peptides.

Journal of bioinformatics and computational biology Dec 14, 2022
In this study, we propose , a system that aims to computationally generate novel antiviral peptides (AVPs). This system relies on the key premise of the Generative Adversarial Network (GAN) model and the Feedback method. GAN, a generative modeling ap...
Computational Chemistry Network Pharmacology Amino Acid Sequence Antimicrobial Peptides Algorithms Feedback Deep Learning Antiviral Agents
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Machine learning and molecular simulation ascertain antimicrobial peptide against Klebsiella pneumoniae from public database.

Computational biology and chemistry Dec 5, 2022
Antimicrobial peptides (AMPs) are short peptides with a broad spectrum of antimicrobial activity. They play a key role in the host innate immunity of many organisms. The growing threat of microorganisms resistant to antimicrobial agents and the lack ...
Ligands Anti-Bacterial Agents Antimicrobial Peptides Molecular Docking Simulation Klebsiella pneumoniae Machine Learning Molecular Dynamics Simulation
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AMPpred-EL: An effective antimicrobial peptide prediction model based on ensemble learning.

Computers in biology and medicine May 4, 2022
Antimicrobial peptides (AMPs) are important for the human immune system and are currently applied in clinical trials. AMPs have been received much attention for accurate recognition. Recently, several computational methods for identifying AMPs have b...
Machine Learning Humans Antimicrobial Peptides
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Identification of antimicrobial peptides from the human gut microbiome using deep learning.

Nature biotechnology Mar 3, 2022
The human gut microbiome encodes a large variety of antimicrobial peptides (AMPs), but the short lengths of AMPs pose a challenge for computational prediction. Here we combined multiple natural language processing neural network models, including LST...
Animals Peptides Deep Learning Mice Humans Anti-Bacterial Agents Adenosine Monophosphate Gastrointestinal Microbiome Antimicrobial Peptides
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AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens.

BMC genomics Jan 25, 2022
BACKGROUND: Antibiotic resistance is a growing global health concern prompting researchers to seek alternatives to conventional antibiotics. Antimicrobial peptides (AMPs) are attracting attention again as therapeutic agents with promising utility in ...
Deep Learning Antimicrobial Cationic Peptides Attention Anti-Bacterial Agents World Health Organization Antimicrobial Peptides
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Accelerating antibiotic discovery through artificial intelligence.

Communications biology Sep 9, 2021
By targeting invasive organisms, antibiotics insert themselves into the ancient struggle of the host-pathogen evolutionary arms race. As pathogens evolve tactics for evading antibiotics, therapies decline in efficacy and must be replaced, distinguish...
Drug Design Drug Discovery Anti-Bacterial Agents Reproducibility of Results Artificial Intelligence Antimicrobial Peptides Machine Learning
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HemoNet: Predicting hemolytic activity of peptides with integrated feature learning.

Journal of bioinformatics and computational biology Aug 5, 2021
Quantifying the hemolytic activity of peptides is a crucial step in the discovery of novel therapeutic peptides. Computational methods are attractive in this domain due to their ability to guide wet-lab experimental discovery or screening of peptides...
Hemolysis Antimicrobial Peptides Peptides Humans Amino Acid Sequence Machine Learning
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Machine learning-driven discovery of antimicrobial peptides targeting the GAPDH-TPI protein-protein interaction in Schistosoma mansoni for novel antischistosomal therapeutics.

Computational biology and chemistry Oct 1, 2025
Schistosomiasis, caused by Schistosoma mansoni, remains a significant public health burden, particularly in endemic regions with limited access to effective treatment. The emergence of resistance to praziquantel necessitates the urgent discovery of n...
Glyceraldehyde-3-Phosphate Dehydrogenases Schistosoma mansoni Drug Discovery Schistosomicides Animals Protein Binding Machine Learning Molecular Docking Simulation Enzyme Inhibitors Triose-Phosphate Isomerase Antimicrobial Peptides
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Screening and preliminary analysis of antimicrobial peptide genes in Octopussinensis.

Fish & shellfish immunology Aug 1, 2025
Antimicrobial peptides (AMPs) are small molecular peptides that widely exist in organisms to resist external microbial invasion and play a crucial role in the host's immune defense system. Owing to their functions of efficient broad-spectrum killing ...
Animals Amino Acid Sequence Gene Expression Regulation Antimicrobial Peptides Gene Expression Profiling Immunity, Innate
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