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The 7th International Bioinformatics Workshop

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Chen  Luonan        Shanghai University and Osaka-Sandai University, Japan
Chen  Runsheng    CAS/Institute of Biophysics
Fan  Xiaodan          Chinese University of Hong Kong
Hao  Bailin             Fudan and CAS/Institute of Theoretical Physics
Han  Jingdong       CAS/Institute of Genetics and Developmental Biology
Hong  Pengyu       Brandeis University, USA
Jiang Hualiang        CAS/Institute of Materia Medica
Li  Cheng              Harvard University, USA
Li  Guojun             University of Georgia and Shandong University
Li  Wei                  Baylor College of Medicine
Li  Yixue                Shanghai Bioinformatics Center
Liang  Jie               University of Illinois at Chicago, USA
Liu  Xiaole Shirley    Harvard University
Long  Manyuan      The University of Chicago, USA
Shen  Bairong        Soochow University
Tao  Louis              Peking University
Wang Wei             University of North Carolina at Chapel Hill, USA
Xu  Ying                University of Georgia
Yu  Jun                 CAS/Institute of Genomics
Zeng  Rong            Shanghai Research Center for Proteome Analysis
Zhang  Yang           University of Kansas, USA


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ÌâĿΪ¡¶Workshop on Computational Methods for Structural Bioinforamtics and Computational Biology¡·¡£¿Î³Ì½«º­¸ÇÉúÎïÐÅϢѧÖеĹؼüÎÊÌ⣬°üÀ¨½á¹¹ÉúÎïÐÅÏ¢Óë¼ÆËãÉúÎïÖеļÆËã·½·¨µÈ¡£

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2009.6.14£º
1. Basic concepts in molecular biology: DNA, RNA, protein,
2. Dynamic programing and sequence analysis- Global, semiglobal, and local sequence alignment
3. Statistical models for evaluating aligned sequences
4. Secondary and tertiary strutures of protein
- Secondary structure prediction
5. Alignment of 3D Protein Structures
- Sequence order dependent and independent methods
6. Prediction of 3D structures - Homology model, template based method, and ab initio method
7. Membrane protein structure

2009.6.15£º
1.  Geometric structure of biomolecules:
     - van der waals space filling, Richards accessible surface, Connolly's  surface,
2. Geometric constructs: Voronoi diagram, Delaunay triagulation and   their weighted     versions
3. Algorithm for constructing geometric structures
4. Topological structures of biomolecule:  
        - simplicial complex, alpha shape,
             - voids and pockets.
5. Application: protein function prediction from geometric structure

2009.6.16£º
1  Discrete state of biomolecules: Protein and RNA molecules
2  Generating conformational samples and technical challenges
3. Conformational Sampling with Markov chain Monte Carlo
4. Conformational Sampling with Sequential Monte Carlo- Loop entropy estimation
5. Application: the protein packing problem and the origin of voids in proteins
6. Decoy selection and potential function
      -Anfinsen's principle and mathematical structure for designing
        potential function

2009.6.17.
1. Statistical potential function for selecting protein conformation
3. Potential function by optimization for selecting conformation
4. Potential function for protein design
5. Application: global fitness landscape of protein evolution
6. Models of molecular evolution

2009.6.18£º
1. Substitution rate model of DNA and protein and rate estimation:- Maximul likelihood and Bayesian Monte Carlo
2. Application: improved protein function prediction.
3. Molecular networks and chemical master equation
4. Stochastic models for moelcular network
5. State space of moelcular network and its exact characterization
6. Stochstic simulationmethod
7. Exact calculation of probability landscape

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xueyingwen

Ìú¸Ëľ³æ (³õÈëÎÄ̳)

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[ Last edited by xueyingwen on 2009-4-7 at 08:03 ]
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