QFoldAgent: a closed-loop multi-agent framework for 5-residue tetrahedral-lattice protein folding with a design agent proposing sequence-conditioned penalties
Read the original at arxiv.org→arXiv:2607.22549v1 Announce Type: new Abstract: Hybrid quantum-classical protein structure prediction depends strongly on Hamiltonian penalty weights, yet existing lattice-based workflows typically fix these...
Original headline: "QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction"
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- Jul 28, 04:00 UTC arXiv cs.AI lead source QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction