AgentFold: Closed-Loop Agentic Search for Protein Folding Model Design
cs.AI
Submitted: 2026-08-27
Updated: 2026-08-28
Code: https://github.com/lmqfly/AgentFold
Terminology
Sources
- FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours
- STELLA: Self-Evolving LLM Agent for Biomedical Research
- BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model
- EigenFold: Generative Protein Structure Prediction with Diffusion Models
- AlphaFold Meets Flow Matching for Generating Protein Ensembles
- CHIME: LLM-Assisted Hierarchical Organization of Scientific Studies for Literature Review Support
- Automated Hypothesis Validation with Agentic Sequential Falsifications
- DA-Code: Agent Data Science Code Generation Benchmark for Large Language Models
- AlphaGo Moment for Model Architecture Discovery
- The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
- AlphaEvolve: A coding agent for scientific and algorithmic discovery
- Large Language Models are Zero Shot Hypothesis Proposers
- CellForge: Agentic Design of Virtual Cell Models
- SimpleFold: Folding Proteins is Simpler than You Think
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection