A5076926792- Antimicrobial Peptides and Activities
- Biochemical and Structural Characterization
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- Invertebrate Immune Response Mechanisms
- Protein Hydrolysis and Bioactive Peptides
- Plant Pathogens and Resistance
- Genetics, Bioinformatics, and Biomedical Research
- Plant Disease Resistance and Genetics
- Plant Virus Research Studies
Canada's Michael Smith Genome Sciences Centre
2020-2025
BC Centre for Disease Control
2020-2025
University of British Columbia
2020-2025
BC Cancer Agency
2020-2025
Agriculture and Agri-Food Canada
2016
123 Certification (Canada)
2016
University of Victoria
2016
International Institute of Tropical Agriculture
2016
Abstract Background Antibiotic resistance is a growing global health concern prompting researchers to seek alternatives conventional antibiotics. Antimicrobial peptides (AMPs) are attracting attention again as therapeutic agents with promising utility in this domain, and using silico methods discover novel AMPs strategy that gaining interest. Such can sift through large volumes of candidate sequences reduce lab screening costs. Results Here we introduce AMPlify, an attentive deep learning...
Antimicrobial resistance is a critical public health concern, necessitating the exploration of alternative treatments. While antimicrobial peptides (AMPs) show promise, assessing their toxicity using traditional wet lab methods both time-consuming and costly. We introduce tAMPer, novel multi-modal deep learning model designed to predict peptide by integrating underlying amino acid sequence composition three-dimensional structure peptides. tAMPer adopts graph-based representation for...
Abstract Antibiotic resistance is recognized as an imminent and growing global health threat. New antimicrobial drugs are urgently needed due to the decreasing effectiveness of conventional small‐molecule antibiotics. Antimicrobial peptides (AMPs), a class host defense peptides, emerging promising candidates address this need. The potential sequence space amino acids combinatorially vast, making it possible extend current arsenal agents with practically infinite number new peptide‐based...
Antibiotic resistance is a global health crisis increasing in prevalence every day. To combat this crisis, alternative antimicrobial therapeutics are urgently needed. Antimicrobial peptides (AMPs), family of short defense proteins, produced naturally by all organisms and hold great potential as effective alternatives to small molecule antibiotics. Here, we present rAMPage, scalable bioinformatics discovery platform for identifying AMP sequences from RNA sequencing (RNA-seq) datasets. In our...
Abstract The ever‐growing global health threat of antibiotic resistance is compelling researchers to explore alternatives conventional antibiotics. Antimicrobial peptides (AMPs) are emerging as a promising solution fill this need. Naturally occurring AMPs produced by all forms life part the innate immune system. High‐throughput bioinformatics tools have enabled fast and large‐scale discovery from genomic, transcriptomic, proteomic resources selected organisms. Public protein sequence...
Abstract The ever-growing global health threat of antibiotic resistance is compelling researchers to explore alternatives conventional antibiotics. Antimicrobial peptides (AMPs) are emerging as a promising solution fill this need. Naturally occurring AMPs produced by all forms life part the innate immune system. High-throughput bioinformatics tools have enabled fast and large-scale discovery from genomic, transcriptomic, proteomic resources selected organisms. Public protein sequence...
Sequence analysis of the chromosome region harboring sequence-tagged site (STS) markers YES3-3A and YES3-3B for Ry sto , a gene responsible extreme resistance to Potato virus Y (PVY) in potato, was performed tetraploid potato ‘Barbara’ (Rrrr) ‘AC Chaleur’ (rrrr) as well their progeny selections. Three two sequence variants were identified Barbara resistant (R) selections AC Chaleur susceptible (S) selections, respectively. Further indicates that variant with 21-nucleotide (nt) deletion is...
Antimicrobial peptides (AMPs) are a diverse class of short, often cationic biological molecules that present promising opportunities in the development new therapeutics to combat antimicrobial resistance. Newly developed silico methods offer ability rapidly discover numerous novel AMPs with variety physiochemical properties. Herein, using rAMPage AMP discovery pipeline, we bioinformatically identified 51 candidates from amphibia and insect RNA-seq data their in-depth characterization. The...
Abstract Antibiotic resistance is a growing global health concern prompting researchers to seek alternatives conventional antibiotics. Antimicrobial peptides (AMPs) are emerging therapeutic agents with promising utility in this domain and using silico methods discover novel AMPs strategy that gaining interest. Such can filter through large volumes of candidate sequences reduce lab screening costs. Here we introduce AMPlify, an attentive deep learning model for AMP prediction, demonstrate its...
Abstract Antibiotic resistance is a growing global health concern prompting researchers to seek alternatives conventional antibiotics. Antimicrobial peptides (AMPs) are emerging therapeutic agents with promising utility in this domain and using silico methods discover novel AMPs strategy that gaining interest. Such can filter through large volumes of candidate sequences reduce lab screening costs. Here we introduce AMPlify, an attentive deep learning model for AMP prediction, demonstrate its...