[HTML][HTML] Intelligent de novo design of novel antimicrobial peptides against antibiotic-resistant bacteria strains
Because of the growing number of clinical antibiotic resistance cases in recent years, novel
antimicrobial peptides (AMPs) may be ideal for next-generation antibiotics. This study …
antimicrobial peptides (AMPs) may be ideal for next-generation antibiotics. This study …
Generating ampicillin-level antimicrobial peptides with activity-aware generative adversarial networks
Antimicrobial peptides are a potential solution to the threat of multidrug-resistant bacterial
pathogens. Recently, deep generative models including generative adversarial networks …
pathogens. Recently, deep generative models including generative adversarial networks …
Deep learning improves antimicrobial peptide recognition
Motivation Bacterial resistance to antibiotics is a growing concern. Antimicrobial peptides
(AMPs), natural components of innate immunity, are popular targets for developing new …
(AMPs), natural components of innate immunity, are popular targets for developing new …
[HTML][HTML] ACEP: improving antimicrobial peptides recognition through automatic feature fusion and amino acid embedding
H Fu, Z Cao, M Li, S Wang - BMC genomics, 2020 - Springer
Background Antimicrobial resistance is one of our most serious health threats. Antimicrobial
peptides (AMPs), effecter molecules of innate immune system, can defend host organisms …
peptides (AMPs), effecter molecules of innate immune system, can defend host organisms …
AI4AMP: an antimicrobial Peptide predictor using physicochemical property-Based encoding method and deep learning
Antimicrobial peptides (AMPs) are innate immune components that have recently stimulated
considerable interest among drug developers due to their potential as antibiotic substitutes …
considerable interest among drug developers due to their potential as antibiotic substitutes …
[HTML][HTML] Models and data of AMPlify: a deep learning tool for antimicrobial peptide prediction
Objectives Antibiotic resistance is a rising global threat to human health and is prompting
researchers to seek effective alternatives to conventional antibiotics, which include …
researchers to seek effective alternatives to conventional antibiotics, which include …
Computational methods and tools in antimicrobial peptide research
PGA Aronica, LM Reid, N Desai, J Li… - Journal of Chemical …, 2021 - ACS Publications
The evolution of antibiotic-resistant bacteria is an ongoing and troubling development that
has increased the number of diseases and infections that risk going untreated. There is an …
has increased the number of diseases and infections that risk going untreated. There is an …
StaBle-ABPpred: a stacked ensemble predictor based on biLSTM and attention mechanism for accelerated discovery of antibacterial peptides
V Singh, S Shrivastava, S Kumar Singh… - Briefings in …, 2022 - academic.oup.com
Due to the rapid emergence of multi-drug resistant (MDR) bacteria, existing antibiotics are
becoming ineffective. So, researchers are looking for alternatives in the form of antibacterial …
becoming ineffective. So, researchers are looking for alternatives in the form of antibacterial …
[HTML][HTML] Designing antibacterial peptides with enhanced killing kinetics
Antimicrobial peptides (AMPs) are gaining attention as substitutes for antibiotics in order to
combat the risk posed by multi-drug resistant pathogens. Several research groups are …
combat the risk posed by multi-drug resistant pathogens. Several research groups are …
AMPGAN v2: machine learning-guided design of antimicrobial peptides
Antibiotic resistance is a critical public health problem. Each year∼ 2.8 million resistant
infections lead to more than 35 000 deaths in the US alone. Antimicrobial peptides (AMPs) …
infections lead to more than 35 000 deaths in the US alone. Antimicrobial peptides (AMPs) …