AIMC Topic: Antimicrobial Peptides

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AmpClass: an Antimicrobial Peptide Predictor Based on Supervised Machine Learning.

Anais da Academia Brasileira de Ciencias Oct 4, 2024
In the last decades, antibiotic resistance has been considered a severe problem worldwide. Antimicrobial peptides (AMPs) are molecules that have shown potential for the development of new drugs against antibiotic-resistant bacteria. Nowadays, medicin...
Supervised Machine Learning Antimicrobial Peptides
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PepNet: an interpretable neural network for anti-inflammatory and antimicrobial peptides prediction using a pre-trained protein language model.

Communications biology Sep 28, 2024
Identifying anti-inflammatory peptides (AIPs) and antimicrobial peptides (AMPs) is crucial for the discovery of innovative and effective peptide-based therapies targeting inflammation and microbial infections. However, accurate identification of AIPs...
Anti-Inflammatory Agents Amino Acid Sequence Antimicrobial Peptides Neural Networks, Computer Computational Biology
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Discovery of AMPs from random peptides via deep learning-based model and biological activity validation.

European journal of medicinal chemistry Aug 26, 2024
The ample peptide field is the best source for discovering clinically available novel antimicrobial peptides (AMPs) to address emerging drug resistance. However, discovering novel AMPs is complex and expensive, representing a major challenge. Recent ...
Peptides Structure-Activity Relationship Drug Discovery Microbial Sensitivity Tests Staphylococcal Infections Mice Hemolysis Staphylococcus aureus Deep Learning Antimicrobial Peptides Dose-Response Relationship, Drug Humans Anti-Bacterial Agents Animals
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Machine Learning-Driven Discovery and Evaluation of Antimicrobial Peptides from Mucus Proteome.

Marine drugs Aug 26, 2024
Marine antimicrobial peptides (AMPs) represent a promising source for combating infections, especially against antibiotic-resistant pathogens and traditionally challenging infections. However, traditional drug discovery methods face challenges such a...
Hemolysis Mucus Antimicrobial Peptides Crassostrea HEK293 Cells Proteomics Proteome Staphylococcus aureus Vibrio parahaemolyticus Escherichia coli Animals Drug Discovery Microbial Sensitivity Tests Machine Learning Anti-Bacterial Agents Humans
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Protein Language Models and Machine Learning Facilitate the Identification of Antimicrobial Peptides.

International journal of molecular sciences Aug 14, 2024
Peptides are bioactive molecules whose functional versatility in living organisms has led to successful applications in diverse fields. In recent years, the amount of data describing peptide sequences and function collected in open repositories has s...
Drug Discovery Computational Biology Antimicrobial Cationic Peptides Machine Learning Algorithms Amino Acid Sequence Antimicrobial Peptides
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Deep mutational scanning and machine learning for the analysis of antimicrobial-peptide features driving membrane selectivity.

Nature biomedical engineering Jul 31, 2024
Many antimicrobial peptides directly disrupt bacterial membranes yet can also damage mammalian membranes. It is therefore central to their therapeutic use that rules governing the membrane selectivity of antimicrobial peptides be deciphered. However,...
Antimicrobial Peptides Mutation Amino Acid Sequence Cell Membrane Antimicrobial Cationic Peptides Animals Structure-Activity Relationship Microbial Sensitivity Tests Mice Machine Learning Female
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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, ...
Artificial Intelligence Drug Resistance, Bacterial Drug Design Anti-Bacterial Agents Polymers Antimicrobial Peptides Microbial Sensitivity Tests Bacteria
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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...
Antimicrobial Peptides Humans Neural Networks, Computer Computational Biology
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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 ...
Algorithms Neural Networks, Computer Deep Learning Antimicrobial Peptides Computational Biology Machine Learning
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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...
Mice Proteome Antimicrobial Peptides Neural Networks, Computer Deep Learning Animals Anti-Bacterial Agents Microbial Sensitivity Tests Drug Discovery
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