Chia-ru P. Chung
2001 Longxiang Road
Shenzhen, 518172, China
Shenzhen, 518172, China
Last Updated: 09/26/2026
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Found 46 publications
DeepOTG: An effective deep learning framework for identifying human protein O-linked threonine glycosylation sites via attention-based information bottleneck.
Journal: International journal of biological macromolecules
Published: February 27, 2026
AI-powered rapid detection of multidrug-resistant Klebsiella pneumoniae with informative peaks of MALDI-TOF MS.
Journal: Bioinformatics advances
Published: September 21, 2025
ANIA: an inception-attention network for predicting minimum inhibitory concentration of antimicrobial peptides.
Journal: Briefings in bioinformatics
Published: July 17, 2025
ConsAMPHemo: A computational framework for predicting hemolysis of antimicrobial peptides based on machine learning approaches.
Journal: Protein science : a publication of the Protein Society
Published: October 16, 2024
dbPTM 2025 update: comprehensive integration of PTMs and proteomic data for advanced insights into cancer research.
Journal: Nucleic acids research
Published: September 15, 2024
Caps-ac4C: An effective computational framework for identifying N4-acetylcytidine sites in human mRNA based on deep learning.
Journal: Journal of molecular biology
Published: September 14, 2024
dbAMP 3.0: updated resource of antimicrobial activity and structural annotation of peptides in the post-pandemic era.
Journal: Nucleic acids research
Published: September 09, 2024
CapsEnhancer: An Effective Computational Framework for Identifying Enhancers Based on Chaos Game Representation and Capsule Network.
Journal: Journal of chemical information and modeling
Published: July 01, 2024
ACP-CapsPred: an explainable computational framework for identification and functional prediction of anticancer peptides based on capsule network.
Journal: Briefings in bioinformatics
Published: May 12, 2024
A two-stage computational framework for identifying antiviral peptides and their functional types based on contrastive learning and multi-feature fusion strategy.
Journal: Briefings in bioinformatics
Published: February 04, 2024
AMPActiPred: A three-stage framework for predicting antibacterial peptides and activity levels with deep forest.
Journal: Protein science : a publication of the Protein Society
Published: February 03, 2024
Interpretable Multi-Scale Deep Learning for RNA Methylation Analysis across Multiple Species.
Journal: International journal of molecular sciences
Published: January 29, 2024
Last Updated: 09/26/2026