Yanrui Ding

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Organization: Jiangnan University
Department: 1 Department of Computer Science and Technology
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Co-reporter:Yanrui Ding;Yujie Cai
Biopolymers 2013 Volume 99( Issue 9) pp:594-604
Publication Date(Web):
DOI:10.1002/bip.22220

ABSTRACT

The conformational dynamics of xylanase A from Streptomyces lividans (Sl-XlnA) were studied using Molecular Dynamics (MD) simulation to identify the thermally sensitive regions. Sl-XlnA begins to unfold at loop4 and this unfolding expands to the loops near the N-terminus. The high flexibility of loop6 during the 300 K simulation is related to its function. The intense movements of the 310-helices also affect the structural stability. The interaction between the α4β5-loop and the neighboring α5β6-loop plays a crucial role in stabilizing the region from the α4β5-loop to α6. The most thermally sensitive region is from β3 to loop4. The high mobility of the long loop4 easily transfers to the adjacent β4 and α4 and causes β4 and α4 to fluctuate. And, salt bridges ASP124-ARG79, ASP200-ARG159, and ASP231-LYS166 formed a “clamp” to stabilize the region including α4, β4, β5, β6, and β7. © 2013 Wiley Periodicals, Inc. Biopolymers 99: 594–604, 2013.

Co-reporter:Yanrui Ding;Yujie Cai;Yonggang Han;Bingqiang Zhao;Lei Zhu
Biopolymers 2012 Volume 97( Issue 11) pp:864-872
Publication Date(Web):
DOI:10.1002/bip.22093

Abstract

Iron superoxide dismutase (Fe-SOD) is predominantly found in bacteria and mitochondria. The thermal stability of Fe-SOD from different sources can vary dramatically. We have studied the influence of structural parameters on Fe-SOD thermostability by principal component analysis (PCA). The results show that an increased α-helical and turn content, an increased α-helix and loop length, an increase in the number of main-main chains and charged-uncharged hydrogen bonds, a decrease in the 310-helix content, and a decreased β-strand and loop length are all important factors for Fe-SOD thermostability. Interestingly, the use of charged residues to form salt bridges is tendentious in thermophilic Fe-SOD. Negatively charged Arg and positively charged Glu are efficiently used to form salt bridges. The cooperative action of the exposed area, the hydrogen bonds, and the secondary structure plays a crucial role in resisting high temperatures, which demonstrates that the increased stability of thermophilic Fe-SOD is provided by several structural factors acting together. © 2012 Wiley Periodicals, Inc. Biopolymers 97:864–872, 2012.

Co-reporter:Y.R. Ding, Y.J. Cai, P.D. Sun, B. Chen
Journal of Applied Research and Technology (June 2014) Volume 12(Issue 3) pp:493-499
Publication Date(Web):1 June 2014
DOI:10.1016/S1665-6423(14)71629-3
To effectively control and treat river water pollution, it is very critical to establish a water quality prediction system. Combined Principal Component Analysis (PCA), Genetic Algorithm (GA) and Back Propagation Neural Network (BPNN), a hybrid intelligent algorithm is designed to predict river water quality. Firstly, PCA is used to reduce data dimensionality. 23 water quality index factors can be compressed into 15 aggregative indices. PCA improved effectively the training speed of follow-up algorithms. Then, GA optimizes the parameters of BPNN. The average prediction rates of non-polluted and polluted water quality are 88.9% and 93.1% respectively, the global prediction rate is approximately 91%. The water quality prediction system based on the combination of Neural Networks and Genetic Algorithms can accurately predict water quality and provide useful support for realtime early warning systems.
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Benzo[ghi]perylene-4,11-dione,1,2-diacetyl-1,2-dihydro-5,10-dihydroxy-3,7,8,12-tetramethoxy-, (1R,2R)-rel-