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Chenkai Li
Chenkai Li
University of British Columbia
Verified email at bcgsc.ca
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AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens
C Li, D Sutherland, SA Hammond, C Yang, F Taho, L Bergman, ...
BMC genomics 23 (1), 77, 2022
832022
Genome-wide sequencing as a first-tier screening test for short tandem repeat expansions
IS Rajan-Babu, JJ Peng, R Chiu, ...
Genome medicine 13, 1-15, 2021
312021
Mining Amphibian and Insect Transcriptomes for Antimicrobial Peptide Sequences with rAMPage
D Lin, D Sutherland, SI Aninta, N Louie, KM Nip, C Li, A Yanai, L Coombe, ...
Antibiotics 11 (7), 952, 2022
122022
Models and data of AMPlify: a deep learning tool for antimicrobial peptide prediction
C Li, RL Warren, I Birol
BMC Research Notes 16 (1), 11, 2023
72023
Associating Biological Activity and Predicted Structure of Antimicrobial Peptides from Amphibians and Insects
A Richter, D Sutherland, H Ebrahimikondori, A Babcock, N Louie, C Li, ...
Antibiotics 11 (12), 1710, 2022
62022
Terminitor: Cleavage site prediction using deep learning models
C Yang, C Li, KM Nip, RL Warren, I Birol
bioRxiv, 710699, 2019
32019
Machine learning for antimicrobial peptide discovery and design
C Li
University of British Columbia, 2024
2024
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