Yunzhuo Zhou

ORCID: 0000-0003-3827-8916
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About
Contact & Profiles
Research Areas
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods
  • CRISPR and Genetic Engineering
  • RNA and protein synthesis mechanisms
  • Viral Infectious Diseases and Gene Expression in Insects
  • Enzyme Structure and Function
  • Microbial Metabolic Engineering and Bioproduction
  • RNA regulation and disease
  • Protein Degradation and Inhibitors
  • Chronic Lymphocytic Leukemia Research
  • EFL/ESL Teaching and Learning
  • Bioinformatics and Genomic Networks
  • Chronic Myeloid Leukemia Treatments
  • Genomics and Phylogenetic Studies
  • Second Language Acquisition and Learning
  • Second Language Learning and Teaching
  • Machine Learning in Materials Science
  • Mosquito-borne diseases and control
  • Cytomegalovirus and herpesvirus research

The University of Queensland
2022-2024

Baker Heart and Diabetes Institute
2021-2024

The University of Melbourne
2021-2022

Education University of Hong Kong
2022

Understanding the effects of mutations on protein stability is crucial for variant interpretation and prioritisation, engineering, biotechnology. Despite significant efforts, community assessments predictive tools have highlighted ongoing limitations, including computational time, low power, biased predictions towards destabilising mutations. To fill this gap, we developed DDMut, a fast accurate siamese network to predict changes in Gibbs Free Energy upon single multiple point mutations,...

10.1093/nar/gkad472 article EN cc-by Nucleic Acids Research 2023-06-07

Protein-protein interactions (PPIs) play a vital role in cellular functions and are essential for therapeutic development understanding diseases. However, current predictive tools often struggle to balance efficiency precision predicting the effects of mutations on these complex interactions. To address this, we present DDMut-PPI, deep learning model that efficiently accurately predicts changes PPI binding free energy upon single multiple point mutations. Building robust Siamese network...

10.1093/nar/gkae412 article EN cc-by Nucleic Acids Research 2024-05-23

Kinases play crucial roles in cellular signalling and biological processes with their dysregulation associated diseases, including cancers. Kinase inhibitors, most notably those targeting ABeLson 1 (ABL1) kinase chronic myeloid leukemia, have had a significant impact on cancer survival, yet emergence of resistance mutations can reduce effectiveness, leading to therapeutic failure. Limited effort, however, has been devoted developing tools accurately identify ABL1 mutations, as well providing...

10.1016/j.csbj.2021.09.016 article EN cc-by Computational and Structural Biotechnology Journal 2021-01-01

Abstract Protein phosphorylation acts as an essential on/off switch in many cellular signaling pathways. This has led to ongoing interest targeting kinases for therapeutic intervention. Computer‐aided drug discovery been proven a useful and cost‐effective approach facilitating prioritization enrichment of screening libraries, but limited effort devoted providing insights on what makes potent kinase inhibitor. To fill this gap, here we developed kinCSM, integrative computational tool capable...

10.1002/pro.4453 article EN cc-by Protein Science 2022-10-26

Abstract CRISPR base editing screens are powerful tools for studying disease-associated variants at scale. However, the efficiency and precision of perturbations vary, confounding assessment variant-induced phenotypic effects. Here, we provide an integrated pipeline that improves estimation variant impact in screens. We perform high-throughput ABE8e-SpRY with reporter construct to measure outcomes each gRNA alongside their consequences. introduce BEAN, a Bayesian network accounts per-guide...

10.1101/2023.09.08.23295253 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2023-09-10

Abstract Protein phosphorylation acts as an essential on/off switch in many cellular signalling pathways, regulating protein function. This has led to ongoing interest targeting kinases for therapeutic intervention. Computer-aided drug discovery been proven a useful and cost-effective approach facilitating prioritisation enrichment of screening libraries. Limited effort, however, devoted developing tailoring silico tools assist the development kinase inhibitors providing relevant insights on...

10.21203/rs.3.rs-669465/v1 preprint EN cc-by Research Square (Research Square) 2021-07-07

IELTS test is one of the well-known international standard level English language ability for those who intend to use as communication in country or regions study work. This was conducted Mainland China with a number 12 senior high school students, aiming explore washback listening and based on findings give some suggestions teaching learning. Thirty percent original paper revised quantitative data collected. Statistics analysis used evaluating obtained data. finding highlighted importance...

10.54097/ijeh.v4i3.1646 article EN cc-by International Journal of Education and Humanities 2022-09-19
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