A^2-Net: Molecular Structure Estimation from Cryo-EM Density Volumes

Constructing of molecular structural models from Cryo-Electron Microscopy (Cryo-EM) density volumes is the critical last step of structure determination by Cryo-EM technologies. Methods have evolved from manual construction by structural biologists to perform 6D translation-rotation searching, which is extremely compute-intensive. In this paper, we propose a learning-based method and formulate this problem as a vision-inspired 3D detection and pose estimation task. We develop a deep learning framework for amino acid determination in a 3D Cryo-EM density volume. We also design a sequence-guided Monte Carlo Tree Search (MCTS) to thread over the candidate amino acids to form the molecular structure. This framework achieves 91% coverage on our newly proposed dataset and takes only a few minutes for a typical structure with a thousand amino acids. Our method is hundreds of times faster and several times more accurate than existing automated solutions without any human intervention.Comment: 8 pages, 5 figures, 4 table

Effect of Qufeng Xuanbi Formula on experimental asthma guinea pigs' airway inflammation and Th1/Th2 cytokines

目的  观察祛风宣痹方对哮喘豚鼠气道炎症和Th1/Th2细胞因子的影响，探讨其作用机制。方法  用卵蛋白和雾化吸入致敏法，复制豚鼠哮喘模型；取肺泡灌洗液进行嗜酸性粒细胞(Eos)计数；肺组织切片HE染色形态学观察；ELASA方法检测BALF中IFN-γ和IL-4的含量。结果  模型组较正常组肺泡灌洗液(BALF)中气道Eos炎症细胞表达异常，组织形态学病变明显，IFN-γ含量显著下降，IL-4的含量明显升高；地塞迷松米组、中药高剂量组、中药低剂量组较模型组均有显著性差异，BALF中Eos的数量明显降低,组织形态学改善明显，IFN-γ含量显著升高，IL-4的含量明显下降，中药高剂量组效果强于低剂量组。结论  祛风宣痹方能减少EOS浸润，抑制气道炎症，调节Th1/Th2失衡,这可能是其阻断哮喘发生发展的机制之一。Objective: To explore the therapeutic effect and mechanism of Qufeng Xuanbi Formula on experimental asthma guinea pigs' airway inflammation and regulation Th1/Th2 imbalance in treatment of bronchia asthma. Methods: Animal models were established in guinea pigs by a combination of intraperitional injection and repeated intranasal challenges. Immune adjustment influence of medicine on Th1/Th2 imbalance was observed.Eos in BALF were counted and tissue slice dyed with HE were observed; Content of IFN-γand IL-4 were detected by ELASA. Results: Compared with normal group, the alveolar lavage fluid (BALF) in the marked increase in the number of Eos, histomorphology lesions, obviously abnormal Eos of the airway inflammatory cells express; the level of IFN-γwas dramatically decreased, neutrophil and level of IL- 4 were all significantly increased in the BALF. DXM group, high and low dose group are significant different compared with model group (P<0.01), However, the percentages of EOS and level of IFN-γwas dramatically increased, the level of IL-4 was dramatically decreased (P<0.01), high dose group‘s effect is better than the low dose group. Conclusion: Qufeng Xuanbi Formula can reduce the EOS infiltration, inhibit airway inflammation, regulate Th1/Th2 imbalance, it could be one of the blocking mechanism of occurrence and development of asthma. 

The Evaluation Model of Garbage Classification System Based on AHP

Based on Shenzhen as an example, the questionnaire was designed in advance to get statistical data. In this paper, the AHP and the linear weighted sum method are used for the weight calculation of each factor, obtaining the long-term cost benefit function of the garbage classification system and the garbage classification pattern grading. Finally, we can choose the better garbage classification mode according to this score