Protein Misfolding Simulation with Recursive TGRM — Grok-Assisted Stability Benchmark (2025)

This dataset presents results from a protein misfolding simulation run with a recursive Targeted Gradient Repair Mechanism (TGRM) under baseline entropy 0.65 across 200 generations. The control sequence decayed to near-zero stability by generation 20, while the TGRM condition stabilized at ~48.5% vitality with latency collapsing to zero by generation 60 and cumulative rebound fixed at 13.0. These results empirically support the Reparodynamics framework for autonomous protein repair and entropy stabilization in adaptive systems. The run was conducted publicly through xAI’s Grok interface on October 23, 2025. Data include generational stability, latency, and rebound parameters confirming sustained equilibrium over 200 generations. Future experiments will extend this model toward genomic instability repair and cellular self-maintenance pathways.本数据集收录了一项蛋白质错误折叠模拟的实验结果，该模拟采用递归靶向梯度修复机制（Targeted Gradient Repair Mechanism，TGRM），在基线熵为0.65的条件下完成了200代迭代。对照组序列在第20代时稳定性衰减至接近零，而TGRM实验组的活性水平稳定在约48.5%，其错误折叠潜伏期于第60代时降至零，累积反弹值固定为13.0。 上述实验结果实证支持了修复动力学（Reparodynamics）框架在自适应系统中实现自主蛋白质修复与熵稳定的理论有效性。本次模拟于2025年10月23日通过xAI的Grok接口公开运行。数据集涵盖各代的稳定性、潜伏期与反弹参数，证实了200代迭代周期内系统始终维持稳定平衡。 后续实验将基于此模型，拓展至基因组不稳定性修复与细胞自我维持通路的相关研究。