[HTML][HTML] Advancements, challenges and future perspectives on peptide-based drugs: Focus on antimicrobial peptides

X Luo, H Chen, Y Song, Z Qin, L Xu, N He, Y Tan… - European Journal of …, 2023 - Elsevier
Among other health related issues, the rising concerns on drug resistance led to look for
alternative pharmaceutical drugs that are effective both against infectious and noninfectious …

Various biomimetics, including peptides as antifungals

E Efremenko, A Aslanli, N Stepanov, O Senko… - Biomimetics, 2023 - mdpi.com
Biomimetics, which are similar to natural compounds that play an important role in the
metabolism, manifestation of functional activity and reproduction of various fungi, have a …

AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning

M Salem, A Keshavarzi Arshadi, JS Yuan - BMC bioinformatics, 2022 - Springer
Background Deep learning's automatic feature extraction has proven to give superior
performance in many sequence classification tasks. However, deep learning models …

Prediction of linear cationic antimicrobial peptides active against gram-negative and gram-positive bacteria based on machine learning models

ÜG Söylemez, M Yousef, Z Kesmen, ME Büyükkiraz… - Applied Sciences, 2022 - mdpi.com
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional
antibiotics in order to overcome the growing problems of antibiotic resistance …

A framework for real-time monitoring, analysis and adaptive sampling of viral amplicon nanopore sequencing

R Munro, N Holmes, C Moore, M Carlile, A Payne… - Frontiers in …, 2023 - frontiersin.org
The ongoing SARS-CoV-2 pandemic demonstrates the utility of real-time sequence analysis
in monitoring and surveillance of pathogens. However, cost-effective sequencing requires …

Deep mutational scanning and machine learning for the analysis of antimicrobial-peptide features driving membrane selectivity

JR Randall, LC Vieira, CO Wilke… - Nature Biomedical …, 2024 - nature.com
Many antimicrobial peptides directly disrupt bacterial membranes yet can also damage
mammalian membranes. It is therefore central to their therapeutic use that rules governing …

AMP-GSM: prediction of antimicrobial peptides via a grouping–scoring–modeling approach

ÜG Söylemez, M Yousef, B Bakir-Gungor - Applied Sciences, 2023 - mdpi.com
Due to the increasing resistance of bacteria to antibiotics, scientists began seeking new
solutions against this problem. One of the most promising solutions in this field are …

AMP-EBiLSTM: employing novel deep learning strategies for the accurate prediction of antimicrobial peptides

Y Wang, L Wang, C Li, Y Pei, X Liu, Y Tian - Frontiers in Genetics, 2023 - frontiersin.org
Antimicrobial peptides are present ubiquitously in intra-and extra-biological environments
and display considerable antibacterial and antifungal activities. Clinically, it has shown good …

Molecular research on oral diseases and related biomaterials: A journey from oral cell models to advanced regenerative perspectives

T Steinberg, MP Dieterle, P Tomakidi - International Journal of Molecular …, 2022 - mdpi.com
Oral diseases such as gingivitis, periodontitis, and oral cancer affect millions of people
worldwide. Much research has been conducted to understand the pathogenetic …

Antimicrobial Peptides Prediction method based on sequence multidimensional feature embedding

B Dong, M Li, B Jiang, B Gao, D Li, T Zhang - Frontiers in Genetics, 2022 - frontiersin.org
Antimicrobial peptides (AMPs) are alkaline substances with efficient bactericidal activity
produced in living organisms. As the best substitute for antibiotics, they have been paid …