AIMC Topic: Antimicrobial Peptides

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Cell-free biosynthesis combined with deep learning accelerates de novo-development of antimicrobial peptides.

Nature communications Nov 8, 2023
Bioactive peptides are key molecules in health and medicine. Deep learning holds a big promise for the discovery and design of bioactive peptides. Yet, suitable experimental approaches are required to validate candidates in high throughput and at low...
Deep Learning Antimicrobial Peptides DNA Replication Molecular Dynamics Simulation Protein Biosynthesis
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Review and perspective on bioinformatics tools using machine learning and deep learning for predicting antiviral peptides.

Molecular diversity Aug 26, 2023
Viruses constitute a constant threat to global health and have caused millions of human and animal deaths throughout human history. Despite advances in the discovery of antiviral compounds that help fight these pathogens, finding a solution to this p...
Antimicrobial Peptides Computational Biology Viruses Animals Peptides Deep Learning Antiviral Agents Humans Machine Learning
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A deep learning method for predicting the minimum inhibitory concentration of antimicrobial peptides against using Multi-Branch-CNN and Attention.

mSystems Jul 11, 2023
Antimicrobial peptides (AMPs) are a promising alternative to antibiotics to combat drug resistance in pathogenic bacteria. However, the development of AMPs with high potency and specificity remains a challenge, and new tools to evaluate antimicrobial...
Anti-Bacterial Agents Deep Learning Escherichia coli Antimicrobial Cationic Peptides Microbial Sensitivity Tests Bacteria Antimicrobial Peptides
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Comparison of deep learning models with simple method to assess the problem of antimicrobial peptides prediction.

Molecular informatics Apr 7, 2023
Antibiotic-resistant strains are an emerging threat to public health. The usage of antimicrobial peptides (AMPs) is one of the promising approaches to solve this problem. For the development of new AMPs, it is necessary to have reliable prediction me...
Amino Acid Sequence Antimicrobial Peptides Deep Learning Computational Biology
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Bacteria-Specific Feature Selection for Enhanced Antimicrobial Peptide Activity Predictions Using Machine-Learning Methods.

Journal of chemical information and modeling Mar 13, 2023
There are several classes of short peptide molecules, known as antimicrobial peptides (AMPs), which are produced during the immune responses of living organisms against various infections. In recent years, substantial progress has been achieved in ap...
Escherichia coli Antimicrobial Peptides Peptides Bacteria Machine Learning
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Rational design of stapled antimicrobial peptides.

Amino acids Feb 12, 2023
The global increase in antimicrobial drug resistance has dramatically reduced the effectiveness of traditional antibiotics. Structurally diverse antibiotics are urgently needed to combat multiple-resistant bacterial infections. As part of innate immu...
Artificial Intelligence Anti-Bacterial Agents Prospective Studies Microbial Sensitivity Tests Structure-Activity Relationship 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 Rana catesbeiana Anti-Bacterial Agents Animals
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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...
Antiviral Agents Amino Acid Sequence Computational Chemistry Feedback Algorithms Antimicrobial Peptides Network Pharmacology Deep Learning
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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 ...
Machine Learning Antimicrobial Peptides Anti-Bacterial Agents Molecular Dynamics Simulation Molecular Docking Simulation Ligands Klebsiella pneumoniae
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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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