Student Prize of the Oral Presentation in the CTCMS seminar
University of Queensland, Brisbane, Australia
Posts by Collection
portfolio
Travel Award, MM2023 conference
University of Wollongong, Wollongong, Australia
Conference Support (Registration + Travel)
SAAFE CRC, Adelaide, Australia
Outstanding Contribution to Research (Ascher Group)
University of Queensland, Brisbane, Australia
publications
Microglial activation in the dorsal striatum participates in anxiety-like behavior in Cyld knockout mice
Published in Brain, Behavior, and Immunity, 2020
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Systematic evaluation of computational tools to predict the effects of mutations on protein stability in the absence of experimental structures
Published in Briefings in Bioinformatics, 2022
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A bias of Asparagine to Lysine mutations in SARS-CoV-2 outside the receptor binding domain affects protein flexibility
Published in Frontiers in Immunology, 2022
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Identifying the Molecular Drivers of Pathogenic Aldehyde Dehydrogenase Missense Mutations in Cancer and Non-Cancer Diseases
Published in International Journal of Molecular Sciences, 2023
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DDMut: predicting effects of mutations on protein stability using deep learning
Published in Nucleic Acids Research, 2023
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Characterization on the oncogenic effect of the missense mutations of p53 via machine learning
Published in Briefings in Bioinformatics, 2024
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Characterizing and predicting ccRCC-causing missense mutations in Von Hippel-Lindau disease
Published in Human Molecular Genetics, 2024
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AlzDiscovery: A computational tool to identify Alzheimer’s disease-causing missense mutations using protein structure information
Published in Protein Science, 2024
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talks
Characterisation on the pathogenic effect of the missense mutations of p53 via machine learning
Published:
Characterisation of the pathogenic effect of missense mutations in proteins via machine learning
Published:
Characterisation of the pathogenic effect of missense mutations in proteins via machine learning
Published:
Characterisation on the oncogenic effect of the missense mutations of p53 via machine learning
Published:
Characterisation of the pathogenic effect of missense mutations in proteins via machine learning
Published:
Characterisation of the pathogenic effect of missense mutations in proteins via machine learning
Published:
Characterisation of the pathogenic effect of missense mutations in proteins via machine learning
Published:
teaching
Computing4lifescience Series
Workshop, University of Queensland, 2022
I was a teaching assistant of this workshop, guiding students to work on multiple aspects, including programming issue of Python and R, practices of machine learning, and the visualisation of protein structure using pymol.
Advanced Data Visualisation with ggplot2
Workshop, University of Queensland, 2023
This workshop is the one that I designed, prepared, and delivered, focusing on practical skills on presenting data using R and ggplot2 package.