Proteome-Wide Binding Site Identification Through Graph Convolutional Networks: AI-Enhanced Computational Methods for Drug Target Prediction

Authors

  • José Barreto Professor of Informatics, University of Lisbon

Keywords:

proteome-wide binding site identification, graph convolutional networks, ai-enhanced computational methods, drug target prediction, machine learning

Abstract

Accurate drug target prediction is the uppermost priority for enlightening novel therapeutic opportunities in the pharmaceutical sector. The simplicity and cost-effectiveness of the computational methods initiated the transformation from conventional to in-silico drug identification approaches in the last few decades. Recent advancements in high-throughput biological properties of chemical attributes have led to a massive amount of data.

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Published

31-12-2025

How to Cite

[1]
“Proteome-Wide Binding Site Identification Through Graph Convolutional Networks: AI-Enhanced Computational Methods for Drug Target Prediction”, Cybersecurity & Net. Def. Research, vol. 5, no. 2, pp. 42–49, Dec. 2025, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/cndr/article/view/885