Shirley W. I. Siu
Shirley W. I. Siu
Macao Polytechnic University
Verified email at - Homepage
Cited by
Cited by
Optimization of the OPLS-AA force field for long hydrocarbons
SWI Siu, K Pluhackova, RA Böckmann
Journal of Chemical theory and Computation 8 (4), 1459-1470, 2012
Biomolecular simulations of membranes: physical properties from different force fields
SWI Siu, R Vácha, P Jungwirth, RA Böckmann
The Journal of chemical physics 128 (12), 2008
AmPEP: Sequence-based prediction of antimicrobial peptides using distribution patterns of amino acid properties and random forest
P Bhadra, J Yan, J Li, S Fong, SWI Siu
Scientific reports 8 (1), 1697, 2018
Deep-AmPEP30: improve short antimicrobial peptides prediction with deep learning
J Yan, P Bhadra, A Li, P Sethiya, L Qin, HK Tai, KH Wong, SWI Siu
Molecular Therapy-Nucleic Acids 20, 882-894, 2020
Effects of alkali cations and halide anions on the DOPC lipid membrane
R Vácha, SWI Siu, M Petrov, RA Böckmann, J Barucha-Kraszewska, ...
The journal of physical chemistry A 113 (26), 7235-7243, 2009
PSOVina: The hybrid particle swarm optimization algorithm for protein–ligand docking
MCK Ng, S Fong, SWI Siu
Journal of bioinformatics and computational biology 13 (03), 1541007, 2015
DynaPred: a structure and sequence based method for the prediction of MHC class I binding peptide sequences and conformations
I Antes, SWI Siu, T Lengauer
Bioinformatics 22 (14), e16-e24, 2006
Electric field effects on membranes: gramicidin A as a test ground
SWI Siu, RA Böckmann
Journal of structural biology 157 (3), 545-556, 2007
In vitro and MD simulation study to explore physicochemical parameters for antibacterial peptide to become potent anticancer peptide
R Ma, SW Wong, L Ge, C Shaw, SWI Siu, HF Kwok
Molecular Therapy-Oncolytics 16, 7-19, 2020
xDeep-AcPEP: deep learning method for anticancer peptide activity prediction based on convolutional neural network and multitask learning
J Chen, HH Cheong, SWI Siu
Journal of chemical information and modeling 61 (8), 3789-3803, 2021
A decade of burn unit experience with Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis: Clinical pathological diagnosis and risk factor awareness
VM Lim, A Do, TG Berger, AH Nguyen, J DeWeese, JD Malone, K Jordan, ...
Burns 42 (4), 836-843, 2016
Membrane-proximal tryptophans of synaptobrevin II stabilize priming of secretory vesicles
M Borisovska, YN Schwarz, M Dhara, A Yarzagaray, S Hugo, D Narzi, ...
Journal of Neuroscience 32 (45), 15983-15997, 2012
Recent progress in the discovery and design of antimicrobial peptides using traditional machine learning and deep learning
J Yan, J Cai, B Zhang, Y Wang, DF Wong, SWI Siu
Antibiotics 11 (10), 1451, 2022
PyMOL mControl: Manipulating molecular visualization with mobile devices
WWT Lam, SWI Siu
Biochemistry and Molecular Biology Education 45 (1), 76-83, 2017
Comparison of three molecular simulation approaches for cyclodextrin‐ibuprofen complexation
R Wang, H Zhou, SWI Siu, Y Gan, Y Wang, D Ouyang
Journal of Nanomaterials 2015 (1), 193049, 2015
Chemical toxicity prediction based on semi-supervised learning and graph convolutional neural network
J Chen, YW Si, CW Un, SWI Siu
Journal of cheminformatics 13, 1-16, 2021
Structure-based in silico screening identifies a potent ebolavirus inhibitor from a traditional Chinese medicine library
F Shaikh, Y Zhao, L Alvarez, M Iliopoulou, C Lohans, CJ Schofield, ...
Journal of medicinal chemistry 62 (6), 2928-2937, 2019
Adaptive incremental genetic algorithm for task scheduling in cloud environments
K Duan, S Fong, SWI Siu, W Song, SSU Guan
Symmetry 10 (5), 168, 2018
Aggregation and its influence on the bioactivities of a novel antimicrobial peptide, temporin-PF, and its analogues
Y Zai, X Xi, Z Ye, C Ma, M Zhou, X Chen, SWI Siu, T Chen, L Wang, ...
International Journal of Molecular Sciences 22 (9), 4509, 2021
Using machine learning methods to forecast air quality: A case study in Macao
TMT Lei, SWI Siu, J Monjardino, L Mendes, F Ferreira
Atmosphere 13 (9), 1412, 2022
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Articles 1–20