AIMC Topic: Antimicrobial Peptides
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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 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...
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...
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....
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...
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...
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...
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...
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...
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...
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