Shirley I. Siu

Macao, 999078, China

Last Updated: 09/26/2026

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Found 34 publications

BERT-HemoPep60: Transformer-based Deep Learning Method with Domain-Adaptive Pretraining for Quantitative Hemolytic Activity Prediction of Peptides.

BERT-HemoPep60: Transformer-based Deep Learning Method with Domain-Adaptive Pretraining for Quantitative Hemolytic Activity Prediction of Peptides.

Journal: IEEE journal of biomedical and health informatics

Published: July 28, 2026

MEGCAM: MEta-Graph and Causal Attention Method for Drug Repurposing on Heterogeneous Drug-Target-Disease Knowledge Network.

MEGCAM: MEta-Graph and Causal Attention Method for Drug Repurposing on Heterogeneous Drug-Target-Disease Knowledge Network.

Journal: Journal of chemical information and modeling

Published: May 14, 2026

BERT-T6: Toward High-Accuracy T6SS Bacterial Toxin Identification Using a Protein Language Model.

BERT-T6: Toward High-Accuracy T6SS Bacterial Toxin Identification Using a Protein Language Model.

Journal: Journal of chemical information and modeling

Published: May 07, 2026

MambaTransDTA: A Hybrid Mamba-Transformer Architecture for Accurate Drug-Target Binding Affinity Prediction.

MambaTransDTA: A Hybrid Mamba-Transformer Architecture for Accurate Drug-Target Binding Affinity Prediction.

Journal: Journal of chemical information and modeling

Published: December 17, 2025

An AI-derived peptide PCa2 suppresses pancreatic cancer growth via modulation of the ErbB/PI3K/AKT/mTOR/MYC signaling axis.

An AI-derived peptide PCa2 suppresses pancreatic cancer growth via modulation of the ErbB/PI3K/AKT/mTOR/MYC signaling axis.

Journal: Cell communication and signaling : CCS

Published: December 13, 2025

Enzyformer: a two-stage pretrained model for enzymatic retrosynthesis.

Enzyformer: a two-stage pretrained model for enzymatic retrosynthesis.

Journal: Journal of cheminformatics

Published: November 02, 2025

Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery.

Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery.

Journal: Bioresources and bioprocessing

Published: October 03, 2025

Multi-MoleScale: a multi-scale approach for molecular property prediction with graph contrastive and sequence learning.

Multi-MoleScale: a multi-scale approach for molecular property prediction with graph contrastive and sequence learning.

Journal: Journal of cheminformatics

Published: April 17, 2025

BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides for Escherichia coli and Staphylococcus aureus.

BERT-AmPEP60: A BERT-Based Transfer Learning Approach to Predict the Minimum Inhibitory Concentrations of Antimicrobial Peptides for Escherichia coli and Staphylococcus aureus.

Journal: Journal of chemical information and modeling

Published: March 14, 2025

Identification of Anticancer Peptides from the Genome of Candida albicans: in Silico Screening, in Vitro and in Vivo Validations.

Identification of Anticancer Peptides from the Genome of Candida albicans: in Silico Screening, in Vitro and in Vivo Validations.

Journal: Journal of chemical information and modeling

Published: July 15, 2024

Editorial: Machine learning approaches to antimicrobials: discovery and resistance.

Editorial: Machine learning approaches to antimicrobials: discovery and resistance.

Journal: Frontiers in bioinformatics

Published: July 02, 2024

A deep learning method for predicting the minimum inhibitory concentration of antimicrobial peptides against Escherichia coli using Multi-Branch-CNN and Attention.

A deep learning method for predicting the minimum inhibitory concentration of antimicrobial peptides against Escherichia coli using Multi-Branch-CNN and Attention.

Journal: mSystems

Published: July 11, 2023

Showing 1-12 of 34

Last Updated: 09/26/2026