1. Introduction to Bioinformatics Dr. Rybarczyk, PhD University of North Carolina-Chapel Hill brybar@med.unc.edu

3. What is Bioinformatics?

4. Conceptualizing biology in terms of molecules and then applying “informatics” techniques from math, computer science, and statistics to understand and organize the information associated with these molecules on a large scale

5. Objectives: Identify appropriate search tools for your needs Perform searches using ‘unknown’ sequence data Analyze protein structure using Protein Explorer

6. Why do we use Bioinformatics? Store/retrieve biological information (databases) Retrieve/compare gene sequences Predict function of unknown genes/proteins Search for previously known functions of a gene Compare data with other researchers Compile/distribute data for other researchers

7. Central Dogma DNA RNA Protein Genomic sequence RNA function & structure Protein sequence Protein structure Protein Function Phenotype

8. Computer Tools Used in Bioinformatics NCBI GenBank Internet resources Sequence retrieval: Sequence comparison programs: Protein Structure: BLAST modeling prediction programs – RasMol, Protein Explorer GCGMacVector

10. Similarity Searching: A tool for searching gene or protein sequence databases for related genes of interest The structure, function, and evolution of a gene may be determined by such comparisons Alignments between the query sequence and any given database sequence, allowing for mismatches and gaps, indicate their degree of similarity

12. Algorithms Finds best matching pair comparisons of sequences input output Computer comparisons using mathematical probabilities

13. MRCKTETGAR MRCGTETGAR % similarity 90% CATTATGATA GTTTATGATT 70%

14. Sequence Analysis: Determine correct sequence of DNA Compare sequence with known sequences Translate DNA into protein sequence Understand protein function in context

15. Current Tools Used in Bioinformatics Strengths: Accessibility Growing rapidly User friendly Weaknesses: Sometimes not up-to-date Limited possibilities Limited comparisons and information Not accurate

16. Need for improved Bioinformatics Genomics:Human Genome Project Gene array technology Comparative genomics Functional genomics Proteomics: Global view of protein function Protein motifs Structural databases

17. Data Mining Handling enormous amounts of data Sort through what is important and what is not Manipulate and analyze data to find patterns and variations that correlate with biological function

18. http://bioinformatics.weizmann.ac.il/cards/

19. 3-D Protein Modeling Uses information determined by crystal structure methods Visualization of protein structure Make protein-protein comparisons Used to determine: conformation/folding antibody binding sites protein-protein interaction sites computer aided drug design

20. Summary Introduction to Bioinformatics tools: Genbank, BLAST, GCG, GeneCard, Chime How Bioinformatics is used Advantages and disadvantages of tools Applications

21. bioinformatics students educators researchers institutions