Alex G. C. de Sá

Orcid: 0000-0002-7276-7839

According to our database1, Alex G. C. de Sá authored at least 10 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
DPD-Cancer: Explainable Graph-based Deep Learning for Small Molecule Anti-Cancer Activity Prediction.
CoRR, March, 2026

kinCSM-RTK: Machine Learning-Based Screening of Receptor Tyrosine Kinase Inhibitors in Drug Discovery.
J. Chem. Inf. Model., 2026

2025
Auto-ADMET: An Effective and Interpretable AutoML Method for Chemical ADMET Property Prediction.
CoRR, February, 2025

Interpreting Machine Learning Pipelines Produced by Evolutionary AutoML for Biochemical Property Prediction.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

2024
Towards Evolutionary-based Automated Machine Learning for Small Molecule Pharmacokinetic Prediction.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Explainable Machine Learning for ICU Readmission Prediction.
CoRR, 2023

LEGO-CSM: a tool for functional characterization of proteins.
Bioinform., 2023

2022
<i>cardioToxCSM</i>: A Web Server for Predicting Cardiotoxicity of Small Molecules.
J. Chem. Inf. Model., 2022

toxCSM: comprehensive prediction of small molecule toxicity profiles.
Briefings Bioinform., 2022

2021
pdCSM-cancer: Using Graph-Based Signatures to Identify Small Molecules with Anticancer Properties.
J. Chem. Inf. Model., 2021


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