PPT-A graph oriented database implemented in DEX for protein structural information.

2 LarribaPey JL 1 ValdésJiménez A 1 Reyes JA 2 DominguezSal D 1 ArenasSalinas MA Centro de Bioinformática y Simulación Molecular Facultad de Ingeniería Universidad de Talca. Why do we want to know protein structure?. Classification. Functional Prediction. What is protein structure?. Primary - chains of amino acids. Secondary - interaction between groups of amino acids. Tertiary - the organization in three dimensions of all the atoms in a polypeptide. a graph . database backed protein analysis software. Thilo Muth. MPI Magdeburg / Germany. (cooperation with CompOmics group in Ghent / Belgium). Life Sciences + Graph Database?. Life scientists are interested in genes, proteins, metabolites, relationships, interactions and biological networks.... Y.C. Tay. National University of Singapore. in collaboration with : . Zhifeng. Bao, Yong Zeng, . Jingbo. Zhou. (fmsasg.com). Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media. IRIC. . 16 . avril. , . 2014. 19h00. Salle S1-151. Pavillon Jean-. Coutu. Université de Montréal. . IRIC. . 16 . avril. , . 2014. 19h00. Salle S1-151. Pavillon Jean-. Coutu. Université de Montréal. The Protein Data Bank. Swanand. Gore & Gerard . Kleywegt. PDBe. – EBI. May 7. th. 2010, 9-10 am. Macromolecular Crystallography Course. Outline. Structural Biology and Bioinformatics. Databases in Structural Bioinformatics. Bigtable. Column- Oriented Database. What is a column-oriented database?. Why is it better than a row-oriented database?. When isn’t it better?. What do I need to know to use it?. How will I need to change my application code?. By: Z. S. . Rezaei. Structural comparison. Structural alignment. spectrum. of structural alignment methods. The properties of output. Types of comparison. Algorithmic complexity. Representation of structures. ISQS3358, Spring 2016. Graph Database. A . graph database is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. .. Graph databases employ nodes, properties, and edges.. (1979) –. Bio-. biology,Informatique. -Data processing. Study of information content and flow in a biological system with the help of IT.. Multidisciplinary branch. Historical background:. 1961-identified mRNA- . One of the benefits of the double stranded DNA structure is that it lends itself to repair, when structural damage or replication errors occur. Several kinds of chemical change may cause damage to DNA:. What is Structural Genomics ?. Is the process of high-. throughtput. determination of 3-D structures of Biological macromolecules. What is the Goal of Structural Genomics ?. Provision of enough structural templates to facilitate homology modeling of most proteins.. template sequence identity. Data are from all models from CASP2 andCASP3 (Critical Assessment of Techniques for Protein Structure�) for which 80% of the protein residues are modeled. Eachtarget era. The rise of bioinformatics. An information explosion!. Bioinformatics. Computational tools are developed to collect, organize and analyze a wide variety of biological data. Advances in DNA sequencing technologies have accelerated the pace of discovery. Much of the process is now automated. . Swanand. Gore & Gerard . Kleywegt. PDBe. – EBI. May 7. th. 2010, 9-10 am. Macromolecular Crystallography Course. Outline. Structural Biology and Bioinformatics. Databases in Structural Bioinformatics.