Dr Alex de Sa
Dr

Alex de Sa

Email: 

Availability

Dr Alex de Sa is:
Available for supervision

Fields of research

Artificial intelligence Evolutionary computation Information and Computing Sciences Machine learning Mathematical Sciences Numerical and computational mathematics Optimisation

Qualifications

  • Doctor of Philosophy, Federal University of Minas Gerais

Search Professor Alex de Sa’s works on UQ eSpace

11 works between 2021 and 2025
All (11) Journal Article (10) Conference Publication (1)

1 - 11 of 11 works

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

Definition and validation of prognostic phenotypes in moderate aortic stenosis

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

Use of the energy waveform electrocardiogram to detect subclinical left ventricular dysfunction in patients with type 2 diabetes mellitus

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

Towards evolutionary-based automated machine learning for small molecule pharmacokinetic prediction

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

Deep-PK: deep learning for small molecule pharmacokinetic and toxicity prediction

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

PRIMITI: a computational approach for accurate prediction of miRNA-target mRNA interaction

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

Engineering G protein‐coupled receptors for stabilization

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

LEGO-CSM: a tool for functional characterization of proteins

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

Insights from spatial measures of intolerance to identifying pathogenic variants in developmental and epileptic encephalopathies

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

cardioToxCSM: a web server for predicting cardiotoxicity of small molecules

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

toxCSM: comprehensive prediction of small molecule toxicity profiles

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

mmCSM-NA: accurately predicting effects of single and multiple mutations on protein–nucleic acid binding affinity

Availability

Dr Alex de Sa is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Enquiries

For media enquiries about Dr Alex de Sa's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au