Tag: Molecular Design
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Mol-Debate: AI Multi-Agent Framework for Molecular Design
Discover how Mol-Debate's multi-agent AI improves structural reasoning for advanced molecular design and accelerates drug discovery processes.
ChemAmp: Enhanced Chemistry Tools with Composable Agents
Discover ChemAmp, a lightweight framework that boosts chemistry tool performance via composable agents, cutting costs and improving molecular design and pr...
Scaffold-Conditioned Triplets for Molecular Optimization
Discover Scaffold-Conditioned Preference Triplets (SCPT) using large language models for precise, scaffold-preserving molecular optimization in drug discov...
MolPaQ: Quantum-Classical Model for Valid Molecular Design
Discover MolPaQ, a modular quantum-classical model ensuring valid, diverse, and interpretable molecular generation with enhanced drug-like quality.
Constraint-Aware Memory Boosts Language-Based Drug Discovery
Discover how Constraint-Aware Corrective Memory (CACM) improves language-based drug discovery with precise diagnostics and 36% higher success rates.