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Latent Style-based Quantum Wasserstein GAN for Drug Design

BACKGROUND
2 SIGNALSFIRST DETECTED 26 March 2026
Narrative synthesis pending — 2 signals collected.
How the story developed
12 May
6.8
26 Mar
4.4
Other feeds and industry voices
27 Apr
MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

arXiv:2604.21937v1 Announce Type: new Abstract: Computational drug discovery, particularly the complex workflows of drug molecule screening and optimization, requires

REPORT · WHAT · ArXiv CS.AIOPEN STORY
13 Apr
MolPaQ: Modular Quantum-Classical Patch Learning for Interpretable Molecular Generation

arXiv:2604.08575v1 Announce Type: cross Abstract: Molecular generative models must jointly ensure validity, diversity, and property control, yet existing approaches typically

REPORT · HOW · ArXiv CS.AIOPEN STORY
19 May
Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design

arXiv:2605.15243v1 Announce Type: cross Abstract: When reliable target structures are unavailable at scale or phenotypes arise from dysregulated pathways, transcriptomic

REPORT · WHEN · ArXiv CS.AIOPEN STORY
19 May
DrugSAGE:Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery

arXiv:2605.15461v1 Announce Type: cross Abstract: Building state-of-the-art (SOTA) predictive models for drug discovery requires expensive search over tools, architectures, and

REPORT · WHAT · ArXiv CS.AIOPEN STORY
31 Mar
AutoMS: Multi-Agent Evolutionary Search for Cross-Physics Inverse Microstructure Design

arXiv:2603.27195v1 Announce Type: new Abstract: Designing microstructures that satisfy coupled cross-physics objectives is a fundamental challenge in material science. This

REPORT · WHERE · ArXiv CS.AIOPEN STORY
18 Jun
Comprehensive pKa Data Augmentation from Limited Real Data through an Engineered Models-Quantum Framework

arXiv:2606.17077v1 Announce Type: cross Abstract: Proton dissociation constants (pKa) are critical for functional molecule discovery and molecular modeling. Building on iBonD, the

REPORT · WHAT · ArXiv CS.AIOPEN STORY
15 Sept
Fraglingo: Molecular Design via Attachment-Aware Autoregressive Fragment Generation

arXiv:2609.13519v1 Announce Type: new Abstract: Molecular design is most effective when generation mirrors the edits chemists actually make: extending a scaffold, replacing a

REPORT · WHEN · ArXiv CS.AIOPEN STORY
31 Mar
What an Autonomous Agent Discovers About Molecular Transformer Design: Does It Transfer?

arXiv:2603.28015v1 Announce Type: new Abstract: Deep learning models for drug-like molecules and proteins overwhelmingly reuse transformer architectures designed for natural

REPORT · HOW · ArXiv CS.AIOPEN STORY
Sources
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