Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Accurate identification of protein secondary structures is beneficial to the structural interpretation of low-resolution X-ray and EM electron density maps. Existing alpha helix identification methods mainly focus on locally voxelwise classification and then link the helix-voxels based on post-processing processes. , a novel alpha helix identification approach, named as SSEPredictor, based on Metropolis-Hastings sampling is proposed, which can provide both locally and globally optimized prediction for alpha helical structures in low-resolution electron density maps. The approach has been tested on X-ray crystallographic electron density maps at 8A resolution. The experimental results show that the identification accuracy is promising.
['Lingyu Ma', 'Marco Reisert', 'Christophe Wirth', 'Carola Hunte', 'Olaf Ronneberger', 'Hans Burkhardt']
I am writing a research paper on a idea Alpha helix prediction based on Metropolis-Hastings sampling
[{"from": "human", "value": "I am writing a research paper on a idea Alpha helix prediction based on Metropolis-Hastings sampling"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Accurate identification of protein secondary structures is beneficial to the structural interpretation of low-resolution X-ray and EM electron density maps. Existing alpha helix identification methods mainly focus on locally voxelwise classification and then link the helix-voxels based on post-processing processes. , a novel alpha helix identification approach, named as SSEPredictor, based on Metropolis-Hastings sampling is proposed, which can provide both locally and globally optimized prediction for alpha helical structures in low-resolution electron density maps. The approach has been tested on X-ray crystallographic electron density maps at 8A resolution. The experimental results show that the identification accuracy is promising."}]