Overview
Availability
- Dr Alex de Sa is:
- Available for supervision
Qualifications
- Doctor of Philosophy, Federal University of Minas Gerais
Research interests
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Automated Machine Learning (AutoML) for Biological, Chemical and Medical Problems
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Design of Search and Optimisation Methods
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Applied Machine Learning to Bio(chem)informatics and Health Informatics
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Interpretation of AutoML methods
Works
Search Professor Alex de Sa’s works on UQ eSpace
2025
Journal Article
Definition and validation of prognostic phenotypes in moderate aortic stenosis
Sen, Jonathan, Wahi, Sudhir, Vollbon, William, Prior, Marcus, de Sá, Alex G.C., Ascher, David B., Huynh, Quan and Marwick, Thomas H. (2025). Definition and validation of prognostic phenotypes in moderate aortic stenosis. JACC: Cardiovascular Imaging, 18 (2), 133-149. doi: 10.1016/j.jcmg.2024.06.013
2024
Journal Article
Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus
Soh, Cheng Hwee, de Sá, Alex G. C., Potter, Elizabeth, Halabi, Amera, Ascher, David B. and Marwick, Thomas H. (2024). Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus. Cardiovascular Diabetology, 23 (1) 91. doi: 10.1186/s12933-024-02141-1
2024
Journal Article
Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank
Huang, Katherine, G. C. de Sá, Alex, Thomas, Natalie, Phair, Robert D., Gooley, Paul R., Ascher, David B. and Armstrong, Christopher W. (2024). Discriminating Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and comorbid conditions using metabolomics in UK Biobank. Communications Medicine, 4 (1) 248, 248. doi: 10.1038/s43856-024-00669-7
2024
Conference Publication
Towards evolutionary-based automated machine learning for small molecule pharmacokinetic prediction
de Sá, Alex G. C. and Ascher, David B. (2024). Towards evolutionary-based automated machine learning for small molecule pharmacokinetic prediction. GECCO '24 Companion, Melbourne, VIC, Australia, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3638530.3664166
2024
Journal Article
Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction
Myung, Yoochan, de Sá, Alex G. C. and Ascher, David B. (2024). Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction. Nucleic Acids Research, 52 (W1), W469-W475. doi: 10.1093/nar/gkae254
2024
Journal Article
PRIMITI: a computational approach for accurate prediction of miRNA-target mRNA interaction
Uthayopas, Korawich, de Sá, Alex G.C., Alavi, Azadeh, Pires, Douglas E.V. and Ascher, David B. (2024). PRIMITI: a computational approach for accurate prediction of miRNA-target mRNA interaction. Computational and Structural Biotechnology Journal, 23, 3030-3039. doi: 10.1016/j.csbj.2024.06.030
2024
Journal Article
Engineering G protein‐coupled receptors for stabilization
Velloso, João Paulo L., de Sá, Alex G. C., Pires, Douglas E. V. and Ascher, David B. (2024). Engineering G protein‐coupled receptors for stabilization. Protein Science, 33 (6) e5000, 1-13. doi: 10.1002/pro.5000
2023
Journal Article
LEGO-CSM: a tool for functional characterization of proteins
Nguyen, Thanh Binh, de Sá, Alex G. C., Rodrigues, Carlos H. M., Pires, Douglas E. V. and Ascher, David B. (2023). LEGO-CSM: a tool for functional characterization of proteins. Bioinformatics, 39 (7) btad402, 1-4. doi: 10.1093/bioinformatics/btad402
2023
Journal Article
Insights from spatial measures of intolerance to identifying pathogenic variants in developmental and epileptic encephalopathies
Silk, Michael, de Sá, Alex, Olshansky, Moshe and Ascher, David B. (2023). Insights from spatial measures of intolerance to identifying pathogenic variants in developmental and epileptic encephalopathies. International Journal of Molecular Sciences, 24 (6) 5114, 1-9. doi: 10.3390/ijms24065114
2022
Journal Article
cardioToxCSM: a web server for predicting cardiotoxicity of small molecules
Iftkhar, Saba, de Sá, Alex G. C., Velloso, João P. L., Aljarf, Raghad, Pires, Douglas E. V. and Ascher, David B. (2022). cardioToxCSM: a web server for predicting cardiotoxicity of small molecules. Journal of Chemical Information and Modeling, 62 (20), 4827-4836. doi: 10.1021/acs.jcim.2c00822
2022
Journal Article
toxCSM: comprehensive prediction of small molecule toxicity profiles
de Sá, Alex G.C., Long, Yangyang, Portelli, Stephanie, Pires, Douglas E.V. and Ascher, David B. (2022). toxCSM: comprehensive prediction of small molecule toxicity profiles. Briefings in Bioinformatics, 23 (5) bbac337, 1-11. doi: 10.1093/bib/bbac337
2021
Journal Article
TSMDA: Target and symptom-based computational model for miRNA-disease-association prediction
Uthayopas, Korawich, de Sá, Alex G.C., Alavi, Azadeh, Pires, Douglas E.V. and Ascher, David B. (2021). TSMDA: Target and symptom-based computational model for miRNA-disease-association prediction. Molecular Therapy - Nucleic Acids, 26, 536-546. doi: 10.1016/j.omtn.2021.08.016
2021
Journal Article
mmCSM-NA: accurately predicting effects of single and multiple mutations on protein–nucleic acid binding affinity
Nguyen, Thanh Binh, Myung, Yoochan, de Sá, Alex G. C., Pires, Douglas E. V. and Ascher, David B. (2021). mmCSM-NA: accurately predicting effects of single and multiple mutations on protein–nucleic acid binding affinity. NAR Genomics and Bioinformatics, 3 (4) lqab109, lqab109. doi: 10.1093/nargab/lqab109
2021
Journal Article
pdCSM-cancer: using graph-based signatures to identify small molecules with anticancer properties
Al-Jarf, Raghad, de Sá, Alex G. C., Pires, Douglas E. V. and Ascher, David B. (2021). pdCSM-cancer: using graph-based signatures to identify small molecules with anticancer properties. Journal of Chemical Information and Modeling, 61 (7), 3314-3322. doi: 10.1021/acs.jcim.1c00168
2021
Journal Article
Distinguishing between PTEN clinical phenotypes through mutation analysis
Portelli, Stephanie, Barr, Lucy, de Sá, Alex G.C., Pires, Douglas E.V. and Ascher, David B. (2021). Distinguishing between PTEN clinical phenotypes through mutation analysis. Computational and Structural Biotechnology Journal, 19, 3097-3109. doi: 10.1016/j.csbj.2021.05.028
Supervision
Availability
- Dr Alex de Sa is:
- Available for supervision
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