Journal Articles
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
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
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
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
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
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
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
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
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
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
Conference Paper
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