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[3] Alber MS, Kiskowskii MA, Glazier JA, Jiang Y, http://citeseer.ist.psu.edu/, 2004 [4] Potts RB, Proc. Cambridge. Phil. Soc.,. 1952, 48, 106-109. [5] Graner F, Glazier JA, Phys. Rev. Lett., 1992, 69, 2013-2016. [6] Glazier JA, Graner F, Phys. Rev. E., 1993, 47, 2128-2154. [7] Hogeweg P, Artificial Life, 2000, 6, 611-648. [8] Rappel WJ, Nicol A, Sarkissian A, Levine H, Loomis WF, Phys. Rev. Lett., 1999, 83, 1247-1250. [9] Stott EL, Britton NF, Glazier JA, Zajac M, Math. Comput. Model, 1999, 30, 183-198. [10] Zygourakis K, Bizios R, Markenscoff P, Biotechnol. Bioeng., 1991, 38, 459-470. [11] Maree AFM, Hogeweg P, Proc. Natl. Acad. Sci. U. S. A., 2001, 98, 3879-3883. OR-011 Protein Diversity of Rice Mutants Induced in Space Environment Wei-Hong Lu1,2 Xin-Zhu Wang3 Lu-Wang1 Ye-Qing Sun14 1. Technology, Harbin, China. Email: lwh@hit.edu.cn. 2. Postdoctoral Fluxion Station of Astronautic Engineering, Harbin Institute of Technology, Harbin, China. 3. Biochemistry Department, Imperial College,London, South Kensington Campus, London SW7 2AZ, UK; 4. Institute of Environmental Systems Biology, Dalian Maritime University,Dalian, China. Email: yqsun@hit.edu.cn To study the characteristics of changes on rice mutants induced in space environment, we analyzed proteins in leaves and seeds of four rice mutants (two high tillering and two low tillering) in the 8th and 9th generations after a 15 day spaceflight, and compared with their ground controls by reverse phase liquid chromatography (RPLC). The results showed that the low abundance proteins of leaves in the peak tillering stage are more likely to be induced compared with their corresponding controls. The albumin, globulin, and prolamine of the mutant seeds revealed changes when compared with their controls, and the characteristics of changes in different mutants were stably inherited in the 8th and 9th generations, suggesting that they can be used as biomarkers to identity the mutants induced by spaceflight. Keywords: space environment, rice mutant, proteomics, RPLC OR-012 Pattern formation controlled by external forcing in a spatial harvesting predator-prey model Feng Rao, Weiming Wang, Zhibin Li In this paper, we present a spatial version of the Ivlev-type predation-di®usion model which contains external periodic forcing and harvest on prey. From the numerical results, our results show that external periodic forcing plays a concernful role in the predation-di®usion model with constant harvest. Keywords: Predator-prey system , Ivlev , External forcing , Pattern OR-013 Improving Psiblast fold recognition performance through combining consensus sequences and Support Vector Machine Ren-Xiang Yan* , Jing Liu, Yi-Min Tao Bioinformatics Center, College of Biological Sciences, China Agricultural University, Beijing 100094, China *Corresponding author Email: yanrenxiang_cau@yahoo.cn
Profile-profile alignment may be the most sensitive and useful computational resource for identifying remote homologies and recognizing protein folds. However, profile-profile alignment is usually much more sophisticated on algorithm and slower on time than sequence-sequence or profile-sequence alignment. The profile or PSSM (position-specific scoring matrix) can be used to represent the mutational variability at each sequence position of a protein by using a vector of amino acid substitution frequencies and it is a much richer encoding of protein sequences. Consensus sequence, can be considered as the simplified profile, was used early to improve sequence alignment. Recently, several studies were carried on to improve Psiblast remotely related protein identification performance by using the alignment between Psiblast profile and consensus sequences (profile-consensus alignment). There are several ways can be used to compute consensus residues at each position of a sequence which capture different information of a profile. Based on this observation, we propose a method that combined the information of different type of consensus sequences and profiles with the assistance of support vector machine learning, and results suggest that our method can further improve Psiblast fold recognition performance. In addition, we also compared the fold recognition ability of our method with COMPASS. Keywords: Psiblast, consensus sequence, profile, SVM OR-014 Human Oral Bioavailability Prediction of Four Kinds of Drugs Aixia Yan Zhi Wang, Meng Meng Corresponding author phone: +86-10-64421335; fax: +86-10-64416428; E-mail: aixia_yan@yahoo.com or yanax@mail.buct.edu.cn State Key Laboratory of Chemical Resource Engineering, Department of Pharmaceutical Engineering, P.O. Box 53, Beijing University of Chemical Technology, 15 BeiSanHuan East Road, Beijing 100029, P. R. China. In this work, four quantitative bioavailability prediction models were built for four kinds of drugs using MLR (Multiple Linear Regression). For the model of Angiotensin Converting Enzyme Inhibitors or Angiotensin Ⅱ Receptor Antagonists, correlation coefficient r=0.91, MAE (Mean absolute error) =5.97; for the model of Calcium Channel Blockers, r=0.98, MAE =2.93; for the model of Sodium and Potasium Channels Blockers, r=0.97, MAE =6.29; and for the model of Quinolone Antimicrobial Agents, r=0.91, MAE =6.72. Explorations into subsets of compounds were performed and good quantitative relationship can be built for these four kinds of drugs which were considered have same pharmacological activity. Keywords: Human Oral Bioavailability, Multiple Linear Regression (MLR), Absorption, Distribution, Metabolism, and Excretion (ADME) OR-015 Prediction of directly regulated genes of transcription factors important for ascidian early development Xuyang Yuan1, 2, Atsushi Kubo3, Yutaka Satou3, Kenta Nakai1, 2, 4 1. Department of Computer Science, Graduate School of Information Science and Technology, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan. 2. Human Genome Center, Institute of Medical Science, University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan. 3. Department of Zoology, Graduate School of Science, Kyoto University, Kitashirakawa -Oiwake-cho, Sakyo-ku, Kyoto 606-8502, Japan.
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Page 5 and 6: Lim., Carmay Our research interests
Page 7 and 8: Email: jtus@phys.ualberta.caBackgro
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