In the last few decades, advances in molecular biology and the equipment
available for research in this field have allowed the increasingly rapid
sequencing of large portions of the genomes of several species. In fact,
to date, several bacterial genomes, as well as those of some simple
eukaryotes (e.g., Saccharomyces cerevisiae, or baker's yeast) have
been sequenced in full. The Human Genome Project, designed to sequence
all 24 of the human chromosomes, is also progressing. Popular sequence
databases, such as GenBank and EMBL, have been growing at exponential
rates. This deluge of information has necessitated the careful storage,
organization and indexing of sequence information. Information science
has been applied to biology to produce the field called
Bioinformatics.
The simplest tasks used in bioinformatics concern the creation and maintenance of databases of biological information. Nucleic acid sequences (and the protein sequences derived from them) comprise the majority of such databases. While the storage and or ganization of millions of nucleotides is far from trivial, designing a database and developing an interface whereby researchers can both access existing information and submit new entries is only the beginning.
The most pressing
tasks in bioinformatics involve the analysis of sequence information.
Computational Biology is the name given to this process,
and it involves the following:
The process of evolution has produced DNA sequences that encode proteins with very specific functions. It is possible to predict the three-dimensional structure of a protein using algorithms that have been derived from our knowledge of physics, chemistry and most importantly, from the analysis of other proteins with similar amino acid sequences. The diagram below summarizes the process by which DNA sequences are used to model protein structure. The processes involved in this transformation are detailed in the pages that follow.


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