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Lecture 1

Bioinformatics. Lecture 1. What is bioinformatics? Why bioinformatics? The major molecular biology facts Brief history of bioinformatics Typical problems of bioinformatics: collection and retrieval of data alignment and similarity search prediction and classification

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Lecture 1

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  1. Bioinformatics Lecture 1 • What is bioinformatics? • Why bioinformatics? • The major molecular biology facts • Brief history of bioinformatics • Typical problems of bioinformatics: • collection and retrieval of data • alignment and similarity search • prediction and classification • Expectationsand the level of requirements

  2. What is Bioinformatics? Computer Science Mathematics and Statistics Biology

  3. What is bioinformatics? A working definition is that of House of Representatives Standing Committee on Primary Industries and Regional Services Inquiry :- "All aspects of gathering, storing, handling, analyzing, interpreting and spreading vast amounts of biological information in databases. The information involved includes gene sequences, biological activity/function, pharmacological activity, biological structure, molecular structure, protein-protein interactions, and gene expression. Bioinformatics uses powerful computers and statistical techniques to accomplish research objectives, for example, to discover a new pharmaceutical or herbicide."

  4. Areas of current and future development of bioinformatics • Molecular biology and genetics • Phylogenetic and evolutionary sciences • Different aspects of biotechnology including pharmaceutical and microbiological industries • Medicine • Agriculture • Eco-management

  5. Why bioinformatics? • Exponential growth of investments • Constant deficit of trained professionals • Diversification of bioinformatics applications • Need in different types of bioinformaticians

  6. Central Dogma of Molecular Biology replication GENOTYPE (i.e. Aa) GENE (DNA) ATGCAAGTCCACTGTATTCCA reverse tr transcription MESSENGER (RNA) UACGUUCAGGUGACAUAAGGG translation PROTEIN PHENOTYPE (pink) TRAIT

  7. A C G T C A T G 5’ 3’ 3’ 5’ T G C A G T A C DNA template Symbol Meaning Explanation G G Guanine A A Adenine T T Thymine C C Cytosine R A or G puRine Y C or T pYrimidine N A, C, G or T Any base RNA Double helix A C G U C A U G 5’ 3’ U U Uracil

  8. Genetic Code • Amino acids are coded by codons – triplets of nucleotides, e.g. |ACG|TAT|…. • There are 43 = 64 codons for ~20 amino acids, the code is degenerate • Codons do not overlap • Deletions or insertions of one or few nucleotides (not equal to 3 x N) usually destroy a message by shifting a reading frame • Three specific codons (stop codons) do not code any amino acid and are always located at the very end of the protein coding part of a gene

  9. The genetic code

  10. The 20 amino acids common in living organisms

  11. Green Fluorecent Protein (GFP) PROTEINS 1 mcgkkfelki dnvrfvghpt llqpphtiqa sktdpspkre lptmilfsvv falranadas 61 viscmhnlsr riaialqhee rrcqyltrea klmlamqdev ttiidsdgsp qspfrqilpk 121 cklardlkea ydslcttgvv rlhinnwlev sfclphkihr vggkhiplea lerslkairp

  12. Genomic Hierarchy in Eukaryotes Genome nuclear (1) Chromosomes (23x2) DNA molecules (23x2) Genes (~30,000); only a small fraction of genome Nucleotides (~3x109)

  13. Eukaryotic genes are complex Start codonIntron 1 Intron 2 Intron 3 Stop codon Promoter Exon 1 Exon 2 Exon 3 Exon 4 Protein codingregions

  14. Brief history of bioinformatics: Databases • The first biological database - Protein Identification Resource was established in 1972 by Margaret Dayhoff • Dayhoff and co-workers organized the proteins into families and superfamilies based on degree of sequence similarity • Idea of sequence alignment was introduced as well as special tables that reflected the frequency of changes observed in the sequences of a group of closely related proteins • Currently there are several huge Protein Banks : SwissProt, PIR International, etc. • The first DNA database was established in 1979. Currently there are several powerful databases: GenBank, EMBL, DDBJ, etc.

  15. Brief history of bioinformatics: evolutionary reconsructions

  16. Brief history of bioinformatics: other important steps • Development of sequence retrieval methods (1970-80s) • Development of principles of sequence alignment (1980s) • Prediction of RNA secondary structure (1980s) • Prediction of protein secondary structure and 3D (1980-90s) • The FASTA and BLAST methods for DB search (1980-90s) • Prediction of genes (1990s) • Studies of complete genome sequences (late 1990s –2000s)

  17. Collection and retrieval of data. Alignment methods. • Sequencing (DNA, proteins) • Submission of sequences to the databases • Computer storage of sequences • Development of sequence formats • Conversion of one sequence format to another • Development of retrieval and alignment methods

  18. Prediction, reconstruction and classification • Prediction of secondary and 3D structure of RNA and proteins • Gene prediction in prokaryotes and eukaryotes • Prediction of promoters and other functional sites • Reconstruction of phylogeny • Genome analysis • Classification of proteins and genes

  19. 3’ 5’ 5’3’ Prediction of RNA secondary structure: an example A. Single stranded RNA B. Stem and loop or hairpin loop

  20. Expectations of students’ performance • Basic understanding of general principles of molecular biology • Some mathematical and computer science background • Focus on using computational methods and understanding • general ideas of analysis used in bioinformatics • Formal description of algorithms and complex methodology • will not be the core elements of this unit • The core requirement is understanding of foundations of • bioinformatics and “hands on” approach

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