Publications Home > Research > Publications
2011


1.         Xi D; Dong X; Deng W; et al, Dynamic behavior of small heat shock protein inhibition on amyloid fibrillization of a small peptide (SSTSAA) from RNase A, BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 416(1-2), 130-134, 2011

 

2.         He S; Lai LH, Molecular Docking and Competitive Binding Study Discovered Different Binding Modes of Microsomal Prostaglandin E Synthase-1 Inhibitors, JOURNAL OF CHEMICAL INFORMATION AND MODELING, 51(12), 3254-3261, 2011

 

3.         Wang Q; Qu JH; Cheng XX; et al, A study of biases of DNA copy number estimation based on PICR model, FRONTIERS OF MATHEMATICS IN CHINA, 6(6), 1203-1216, 2011

 

4.         Huang LW; Cui YW; Zhang DK; et al, Impact of noise structure and network topology on tracking speed of neural networks, NEURAL NETWORKS, 24(10), 1110-1119, 2011

 

5.         Yang CZ; Li HL; Zhou Ye; et al, A New Specialization in Astrocytes: Glutamate- and Ammonia-Induced Nuclear Size Changes, JOURNAL OF NEUROSCIENCE RESEARCH, 89(12), 2041-2051, 2011

 

6.         He S; Wu YR; Yu DQ; et al, Microsomal prostaglandin E synthase-1 exhibits one-third-of-the-sites reactivity, BIOCHEMICAL JOURNAL, 440(13-21), 2011

 

7.         Zhang CS; Lai LH, Towards structure-based protein drug design, BIOCHEMICAL SOCIETY TRANSACTIONS, 39(1382-1386), 2011

 

8.         Zhang CS; Lai LH, SDOCK: A Global Protein-Protein Docking Program Using Stepwise Force-Field Potentials, JOURNAL OF COMPUTATIONAL CHEMISTRY, 32(12), 2598-2612, 2011

 

9.         Lu YM; Zhou Y; Qu WB; et al, A Lasso regression model for the construction of microRNA-target regulatory networks, BIOINFORMATICS, 27(17), 2406-2413, 2011

 

10.     Li N; Luo CX; Zhu XJ; et al, Microfluidic generation and dynamically switching of oxygen gradients applied to the observation of cell aerotactic behavior, MICROELECTRONIC ENGINEERING, 88(8), 1698-1701, 2011

 

11.     Luo CX; Liu L; Ni XF; et al, Differentiating stem cells on patterned substrates for neural network formation, MICROELECTRONIC ENGINEERING, 88(8), 1707-1710 2011

 

12.     Zheng XB; Hu GQ; She ZS; et al, Leaderless genes in bacteria: clue to the evolution of translation initiation mechanisms in prokaryotes, BMC GENOMICS, 12, 361, 2011

 

13.     Wu WQ; Zheng XB; Liu YC; et al, Operon Prediction Based On an Iterative Self-learning Algorithm, PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 38(7), 642-651, 2011

 

14.     Zhang CQ; Wang J; Hua X; et al, A mutation degree model for the identification of transcriptional regulatory elements, BMC BIOINFORMATICS, 12, 262, 2011

 

15.     Wang L; Hou L; Qian MP; et al, Integrating multiple types of data to predict novel cell cycle-related genes, BMC SYSTEMS BIOLOGY, 5(1), S9, 2011

 

16.     Wu YR; Chen Z; Liu Y; et al, Quinoline-4-methyl esters as human nonpancreatic secretory phospholipase A(2) inhibitors, BIOORGANIC & MEDICINAL CHEMISTRY, 19(11), 3361-3366, 2011

 

17.     Yuan XJ; Wang HL; Ouyang Q, Evidence of Negative-Index Refraction in Nonlinear Chemical Waves, PHYSICAL REVIEW LETTERS, 106(18), 188303, 2011

 

18.     Yuan YX; Pei JF; Lai LH, LigBuilder 2: A Practical de Novo Drug Design Approach , JOURNAL OF CHEMICAL INFORMATION AND MODELING, 51(5), 1083-1091, 2011

 

19.     Hou L; Wang L; Qian MP; et al, Modular analysis of the probabilistic genetic interaction network, BIOINFORMATICS, 27(6), 853-859, 2011

 

20.     Bai HJ; Yang K; Yu DQ; et al, Predicting kinetic constants of protein-protein interactions based on structural properties, PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 79(3), 720-734, 2011

 

21.     Li ZY; Ni M; Li JK; et al, Decision making of the p53 network: Death by integration, JOURNAL OF THEORETICAL BIOLOGY, 271(1), 205-211, 2011

 

22.     Huang YQ; Liu ZR, Anchoring Intrinsically Disordered Proteins to Multiple Targets: Lessons from N-Terminus of the p53 Protein, INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 12 (2), 1410-1430, 2011

 

23.     Wang L; Lai LH; Ouyang Q; et al, Flux Balance Analysis of Ammonia Assimilation Network in E. coli Predicts Preferred Regulation Point, PLOS ONE, 6 (1), e16362, 2011