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Energy Landscape Paving with Local Search for Global Optimization of the BLN Off-lattice Model
Jingfa Liu,Weibo Huang,Wenjie Liu,Yuanyuan Sun,Beibei Song,Mao Chen 한국물리학회 2014 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.64 No.4
The optimization problem for finding the global minimum energy structure is one of the mainproblems of protein structure prediction and is known to be an NP-hard problem in computationalmolecular biology. The low-energy conformational search problem in the hydrophobic-hydrophilicneutral(BLN) off-lattice model is studied. We convert the problem into an unconstrained optimizationproblem by introducing the penalty function. By putting forward a new updating mechanismof the histogram function in the energy landscape paving (ELP) method and incorporating heuristicconformation update strategies into the ELP method, we obtain an improved ELP (IELP) method. Subsequently, by combining the IELP method with the local search (LS) based on the gradient descentmethod, we propose a hybrid algorithm, denoted by IELP-LS, for the conformational searchof the off-lattice BLN model. Simulation results indicate that IELP-LS can find lower-energy statesthan other methods in the literature, showing that the proposed method is an effective tool forglobal optimization in the BLN off-lattice protein model.
The Fluorescence Behavior Studies and Applications of Two D-π-A Type Imidazolium Analogs
Beibei Zhai,Mohammad Kawsar Hossain,Ziwei Hu,Bing Liu,Wei Li,Chao Gao 대한화학회 2019 Bulletin of the Korean Chemical Society Vol.40 No.11
The fluorescence behaviors and applications of two water-soluble imidazolium analogs TPI-1 and TPI-2 with D-π-A structures have been studied. Compound TPI-1 possessed the aggregation-induced emission (AIE) effect, but TPI-2 not. Moreover, compound TPI-1 could serve as a fluorescence turn-on probe for detecting uridine-5'-triphosphate (UTP) in living cells by AIE mechanism, while TPI-2 was able to penetrate into the cell membranes and light up the living cells.
Generalization Threshold Optimization of Fuzzy Rough Set algorithm in Healthcare Data Classification
Beibei Dong,Yu Liu,Benzhen Guo,Xiao Zhang 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.3
There is ineffective classification problem in application of K-means clustering algorithm in massive data cluster analysis. This paper presents a K-means algorithm based on generalization threshold rough set optimization weight. Firstly, utilize attribute order described method, using the average distance calculation with Laplace method to optimize the generalization threshold of fuzzy rough set , then the Euclidean distance metric is used in the calculation of the similarity of K-means algorithm, introducing the variation coefficient into the cluster analysis, clustering the Euclidean distance weighted K-means algorithm totally based on data, finally, combine the rough set algorithm based on the generalization threshold optimization and K-means clustering algorithm, applied to medical and health data classification. The K-means algorithm based on generalization threshold rough set optimization weight presented by this paper has a better effect on medical and health data classification.
Combination of Cloud Computing and Internet of Things (IOT) in Medical Monitoring Systems
Yu Liu,Beibei Dong,Benzhen Guo,Jingjing Yang,Wei Peng 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12
With the fast development of cloud computing and computer science technology, the combination of the IOT and clod computing in the medical-assisted environment is urgently needed. The prior research focus more on individual development of the single technique, quite a less research on the field of medical monitoring and managing service application have been conducted. Therefore, in this paper, we study and analyze the application of cloud computing and the Internet of Things on the field of medical environment. We are trying to make the combination of the two kinds of technology monitoring and management information system in hospital. Remote monitoring cloud platform architecture model (RMCPHI) set up medical information in the first place. Then the RMCPHI architecture was analyzed. Eventually, the last effective PSOSAA algorithm proposed the hospital medical information service cloud system monitoring and management application. Experimental simulation illustrates that the proposed algorithm outperforms the other state-of-the-art algorithms. Further potential research areas are discussed.
Manhole Cover Detection from Natural Scene Based on Imaging Environment Perception
( Haoting Liu ),( Beibei Yan ),( Wei Wang ),( Xin Li ),( Zhenhui Guo ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.10
A multi-rotor Unmanned Aerial Vehicle (UAV) system is developed to solve the manhole cover detection problem for the infrastructure maintenance in the suburbs of big city. The visible light sensor is employed to collect the ground image data and a series of image processing and machine learning methods are used to detect the manhole cover. First, the image enhancement technique is employed to improve the imaging effect of visible light camera. An imaging environment perception method is used to increase the computation robustness: the blind Image Quality Evaluation Metrics (IQEMs) are used to percept the imaging environment and select the images which have a high imaging definition for the following computation. Because of its excellent processing effect the adaptive Multiple Scale Retinex (MSR) is used to enhance the imaging quality. Second, the Single Shot multi-box Detector (SSD) method is utilized to identify the manhole cover for its stable processing effect. Third, the spatial coordinate of manhole cover is also estimated from the ground image. The practical applications have verified the outdoor environment adaptability of proposed algorithm and the target detection correctness of proposed system. The detection accuracy can reach 99% and the positioning accuracy is about 0.7 meters.
( Yanyan Liu ),( Hojin Ryu ),( Beibei Ge ),( Guohui Pan ),( Lei Sun ),( Kyungseok Park ),( Kecheng Zhang ) 한국미생물 · 생명공학회 2014 Journal of microbiology and biotechnology Vol.24 No.12
Wuyiencin is produced by Streptomyces ahygroscopicus var. wuyiensis CK-15 and is widely used as an antifungal agent in agriculture. Analysis of wuyiencin biosynthetic gene clusters reveals wysR, a member of the LAL-family of transcriptional regulatory genes. WysR consists of an Nterminal PAS domain and a LuxR family C-terminal helix-turn-helix motif. However, the roles of wysR in wuyiencin biosynthesis are largely unknown. In this study, we showed that inactivation of wysR resulted in the complete loss of wuyiencin production, which could be restored by complementation with a single copy of wysR. Furthermore, we successfully increased wuyiencin production to a significantly higher level by overexpression of wysR in S. wuyiensis CK-15. Quantitative real-time RT-PCR analysis showed that WysR regulates wuyiencin biosynthesis by modulating other putative regulatory genes. Thus, WysR was identified as an activator of wuyiencin biosynthesis, and overexpression of wysR gene proved to be an effective strategy for improving wuyiencin production.
Zhichen Wang,Beibei Liu,Rita W. Y. Yip 한국증권학회 2021 Asia-Pacific Journal of Financial Studies Vol.50 No.1
China has opened its stock market to internationally renowned institutional investors but restricts their ownership. We examine whether foreign institutional investors in China, as liquidity providers with superior information, reduce information asymmetry and improve stock liquidity. Using a panel dataset of 18 173 firm–year observations from 2006 to 2015, we find that non-controlling foreign institutional investors in China enhance liquidity. This association is more pronounced for firms with poor internal corporate governance and in underdeveloped institutional environments. Additional analysis shows our results are unlikely to be driven by reverse causality or omitted variables.
The Correlation between Thyrotropin and Dyslipidemia in a Population-based Study
Li Lu,Beibei Wang,Zhongyan Shan,Fengwei Jiang,Xiaochun Teng,Yanyan Chen,Yaxin Lai,Jiani Wang,Haibo Xue,Sen Wang,Chenyan Li,He Liu,Ningna Li,Jiashu Yu,Liangfeng Shi,Xin Hou,Qian Xing,Xue Bai,Weiping Te 대한의학회 2011 Journal of Korean medical science Vol.26 No.2
This study investigated the relationship between serum thyrotrophin levels and dyslipidemia in subclinical hypothyroid and euthyroid subjects. A total of 110 subjects with subclinical hypothyroidism and 1,240 euthyroid subjects enrolled in this study. Patients with subclinical hypothyroidism had significantly lower high density lipoprotein cholesterol (HDL-C) levels than those who were euthyroid. The lipid profiles were each categorized and mean thyrotrophin levels were higher in subjects in the dyslipidemia subclasses than subjects in the normal subclasses. Thyrotrophin was positively associated with serum triglyceride and negatively associated with serum HDL-C in women. Thyrotrophin was also positively associated with total cholesterol (TC) in the overweight population along with TC and LDL-C in overweight women. In the euthyroid population, thyrotrophin was positively associated with TC in the overweight population. In conclusion, serum thyrotrophin was correlated with dyslipidemia in subclinical hypothyroid and euthyroid subjects; the correlation was independent of insulin sensitivity.
Ruilian Xiu,Jie Jia,Qing Zhang,Fengjiao Liu,Yaxin Jia,Yuanyuan Zhang,Beibei Song,Xiaodan Liu,Jingwei Chen,Dongyang Huang,Fan Zhang,Juanjuan Ma,Honglin Li,Xuan Zhang,Yunyun Geng 대한약리학회 2023 The Korean Journal of Physiology & Pharmacology Vol.27 No.6
Transmembrane protein TMEM16A, which encodes calcium-activated chloride channel has been implicated in tumorigenesis. Overexpression of TMEM16A is associated with poor prognosis and low overall survival in multiple cancers including lung adenocarcinoma, making it a promising biomarker and therapeutic target. In this study, three structure-related sesquiterpene lactones (mecheliolide, costunolide and dehydrocostus lactone) were extracted from the traditional Chinese medicine Aucklandiae Radix and identified as novel TMEM16A inhibitors with comparable inhibitory effects. Their effects on the proliferation and migration of lung adenocarcinoma cells were examined. Whole-cell patch clamp experiments showed that these sesquiterpene lactones potently inhibited recombinant TMEM16A currents in a concentration- dependent manner. The half-maximal concentration (IC50) values for three tested sesquiterpene lactones were 29.9 ± 1.1 μM, 19.7 ± 0.4 μM, and 24.5 ± 2.1 μM, while the maximal effect (Emax) values were 100.0% ± 2.8%, 85.8% ± 0.9%, and 88.3% ± 4.6%, respectively. These sesquiterpene lactones also significantly inhibited the endogenous TMEM16A currents and proliferation, and migration of LA795 lung cancer cells. These results demonstrate that mecheliolide, costunolide and dehydrocostus lactone are novel TMEM16A inhibitors and potential candidates for lung adenocarcinoma therapy.