Structure-Based Molecular Optimisation Through Deep Generative Networks: AI-Enhanced Computational Strategies for Rational Drug Design

Authors

  • Ying Liu Associate Professor of Computer Science, Nanyang Technological University (NTU)

Keywords:

structure-based molecular optimisation, deep generative networks, ai-enhanced computational strategies, rational drug design, machine learning

Abstract

Chemical biology can't escape from the marriage between computational science and high-throughput experimentation, either intentionally or unintentionally. The large amounts, variability, higher dimensions, and flexibility of data are supported and applied through model-driven AI techniques, producing clinical interest modules represented as models implicated in pathological situations or patient responses, such as bioactivity, imaging, and mathematical models, blending strong learning from targ

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Published

30-06-2026

How to Cite

[1]
“Structure-Based Molecular Optimisation Through Deep Generative Networks: AI-Enhanced Computational Strategies for Rational Drug Design”, Cybersecurity & Net. Def. Research, vol. 6, no. 1, pp. 12–21, Jun. 2026, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/cndr/article/view/887