Data Retrieval and Storage

From 2008.igem.org

(Difference between revisions)

Latest revision as of 02:22, 30 October 2008

Home	The Team	The Project	Notebook

Evolutionary Algorithm	Data Retrieval	Modeling	Graphical User Interface

Perl

Our first challenge was finding a way to expand the database for EvoGEM. Last year, EvoGEM only had a small database of BioBrick parts, all of which were added manually. Since the iGEM registry consisted of hundreds of parts, manually adding parts was not practical. In addition, more parts were needed to make more sophisticated tests with EvoGEM. Also, we wanted to have some way of comparing the retrieved parts. We needed to answer the following questions about each part:

If it is an enzyme, what reactions does it catalyze?
If it is a molecule, what is its molecular structure, and what are the synonyms for the molecule name?

The answers to these questions would allow EvoGEM to better distinguish between different compounds. How do we accomplish this, though? By creating a Perl script!

Perl is a programming language that is powerful in text processing facilities. Since it effectively uses string matching, it is an ideal language for searching text and manipulating text files, which is exactly what we needed for retrieving and expanding EvoGEM's local database.

UniProt

If a protein makes up one of the parts retrieved from the iGEM database, the registry provides its amino acid sequence, which can be used to infer all other required information. Namely, the program sends this amino acid sequence to UniProt. UniProt is a large database of proteins and enzymes. This database can be queried by a Blast algorithm, which is a very powerful programming tool. When inputting the DNA or amino acid sequence, UniProt gives results that are closest to the initial search. Besides giving the name of the protein searched, UniProt will give the reagents from the reaction that the protein catalyzes. All this information is useful for EvoGEM and is stored in a local database. Visit Uniprot to see this database.

ChemSpider

The reagents from the reaction that the protein catalyzes are put through ChemSpider. This large database is much like UniProt except that it is for chemistry. Searching and querying in ChemSpider is simple because molecules can be queried using synonyms. After a molecule is queried, ChemSpider produces information about the molecule such as its SMILES, which is a simplified molecular input line entry specification. As useful as this information can be, we needed something that is machine-readable and that could be used for comparisons of metabolic pathways. What is this machine readable format? It is known as the IUPAC International Chemical Identifier (InChI). This InChi is a unique "fingerprint" of the molecule that is not ambiguous like SMILES and is supplied only by IUPAC. An example of an InChi would look like this:

1/C6H8O6/c7-1-2(8)5-3(9)4(10)6(11)12-5/h2,5,7-8,10-11H,1H2/t2-,5+/m0/s1

To see this database, visit: ChemSpider

The Algorithm

The Perl script’s algorithm works in the following manner: First, the program goes to the iGEM registry and retrieves one of the parts, recording its name, type, and sequence. Then, if the part is a protein, it sends the information to Uniprot, where it undergoes the Blast algorithm. From there, it extracts the names of reactants and products and stores them in a file for EvoGEM's local database. Afterwards, if the protein catalyzes a reaction, the program searches for the catalzed compounds in ChemSpider. There, it retrieves more information, such as the InChi, in a local database. Consequently, we now have a large database ready for use for EvoGEM.

Data Retrieval Flow Chart

Navigation

Evolutionary Algorithm	Data Retrieval	Modeling	Graphical User Interface

Home	The Team	The Project	Notebook

@@ Line 8: / Line 8: @@
 !align="center"|[[Team:Calgary_Software/Team|The Team]]
 !align="center"|[[Team:Calgary_Software/Project|The Project]]
-!align="center"|[[Team:Calgary_Software/Modeling|Modeling]]
 !align="center"|[[Team:Calgary_Software/Notebook|Notebook]]
 |}
@@ Line 23: / Line 22: @@
 [[Image:Perl_logo.PNG‎||thumb|right|160px]]
-<div align=justify>Our first challenge was finding a way to expand the database for EvoGEM. Last year, EvoGEM only had a small database of BioBrick parts, all of which were added manually. Since the iGEM registry consisted of hundreds of parts, manually adding parts was not practical. In addition, more parts were needed to make more sophisticated tests with EvoGEM. Also, we wanted to have some way of comparing the retrieved parts.  We answered the following questions about each part:
+<div align=justify>Our first challenge was finding a way to expand the database for EvoGEM. Last year, EvoGEM only had a small database of BioBrick parts, all of which were added manually. Since the iGEM registry consisted of hundreds of parts, manually adding parts was not practical. In addition, more parts were needed to make more sophisticated tests with EvoGEM. Also, we wanted to have some way of comparing the retrieved parts.  We needed to answer the following questions about each part:
-* If they were enzymes, what reactions were they catalyzing?
+* If it is an enzyme, what reactions does it catalyze?
-* If they were molecules, what were the molecular structures or other synonyms for these compounds?
+* If it is a molecule, what is its molecular structure, and what are the synonyms for the molecule  name?
-The answers to these questions would allow EvoGEM to distinguish between different compounds better. How do we accomplish this, though? By creating a Perl script!  </div>
+The answers to these questions would allow EvoGEM to better distinguish between different compounds. How do we accomplish this, though? By creating a Perl script!  </div>
-<div align=justify>Perl is a programming language that is powerful in text processing facilities. Since it effectively uses string matching, it is an ideal language for searching text and manipulating text files, which is exactly what we need for retrieving and expanding EvoGEM's local database.</div>
+<div align=justify>Perl is a programming language that is powerful in text processing facilities. Since it effectively uses string matching, it is an ideal language for searching text and manipulating text files, which is exactly what we needed for retrieving and expanding EvoGEM's local database.</div>
 <br style="clear:both"/>
@@ Line 37: / Line 36: @@
 <div align=justify>
-IIf a protein makes up one of the parts retrieved from the iGEM database, that result is sent to UniProt. UniProt is a large database of proteins and enzymes. This database can be queried by a Blast algorithm, which is a very powerful programming tool. When inputting the DNA or amino acid sequence, UniProt gives results that are closest to the initial search. Besides giving the name of the protein searched, UniProt will give the reagents from the reaction that the protein catalyzes.  All this information is useful for EvoGEM and is stored in a local database. Visit [http://www.uniprot.com Uniprot] to see this database. </div>
+If a protein makes up one of the parts retrieved from the iGEM database, the registry provides its amino acid sequence, which can be used to infer all other required information.  Namely, the program sends this amino acid sequence to UniProt. UniProt is a large database of proteins and enzymes. This database can be queried by a Blast algorithm, which is a very powerful programming tool. When inputting the DNA or amino acid sequence, UniProt gives results that are closest to the initial search. Besides giving the name of the protein searched, UniProt will give the reagents from the reaction that the protein catalyzes.  All this information is useful for EvoGEM and is stored in a local database. Visit [http://www.uniprot.com Uniprot] to see this database. </div>
 <br style="clear:both"/>
@@ Line 46: / Line 45: @@
 <div align=justify>
-The reagents from the reaction that the protein catalyzes are put through ChemSpider. This large database is much like UniProt except that it is for chemistry. Searching and querying in ChemSpider is quite simple because molecules can be queried using synonyms.  After a molecule is queried, ChemSpider produces information about the molecule such as synonyms and SMILES, which is a simplified molecular input line entry specification. As useful as this information can be, the reason for coming for this database is to get something that is machine readable and can be used for comparisons of metabolic pathways. What is this machine readable format? This machine readable format is known as the IUPAC International Chemical Identifier (InChI). This InChi is a unique "fingerprint" of the molecule that is not ambiguous like SMILES and is supplied only by IUPAC. An example of an InChi would look like this:
+The reagents from the reaction that the protein catalyzes are put through ChemSpider. This large database is much like UniProt except that it is for chemistry. Searching and querying in ChemSpider is  simple because molecules can be queried using synonyms.  After a molecule is queried, ChemSpider produces information about the molecule such as its SMILES, which is a simplified molecular input line entry specification. As useful as this information can be, we needed something that is machine-readable and that could be used for comparisons of metabolic pathways. What is this machine readable format? It is known as the IUPAC International Chemical Identifier (InChI). This InChi is a unique "fingerprint" of the molecule that is not ambiguous like SMILES and is supplied only by IUPAC. An example of an InChi would look like this:
 '''1/C6H8O6/c7-1-2(8)5-3(9)4(10)6(11)12-5/h2,5,7-8,10-11H,1H2/t2-,5+/m0/s1'''
@@ Line 57: / Line 56: @@
 <div align=justify>
-The Perl script’s algorithm works in the following manner. First, the program goes to the iGEM registry and takes one of the parts, where it records its name, type, and sequence. Then, if the part is a protein, it sends the information to Uniprot, where it undergoes the Blast algorithm. From there, it extracts the names of reactants and products and stores them in a file for EvoGEM's local database. Afterwards, if the protein catalyzes molecules, the program searches for these compounds in ChemSpider. There, it stores more information, such as the InChi, in the local database for further use.  Consequently, we now have a large database ready for use for EvoGEM. </div>
+The Perl script’s algorithm works in the following manner: First, the program goes to the iGEM registry and retrieves one of the parts, recording its name, type, and sequence. Then, if the part is a protein, it sends the information to Uniprot, where it undergoes the Blast algorithm. From there, it extracts the names of reactants and products and stores them in a file for EvoGEM's local database. Afterwards, if the protein catalyzes a reaction, the program searches for the catalzed compounds in ChemSpider. There, it retrieves more information, such as the InChi, in a local database.  Consequently, we now have a large database ready for use for EvoGEM. </div>
@@ Line 77: / Line 76: @@
 !align="center"|[[Team:Calgary_Software/Team|The Team]]
 !align="center"|[[Team:Calgary_Software/Project|The Project]]
-!align="center"|[[Team:Calgary_Software/Modeling|Modeling]]
 !align="center"|[[Team:Calgary_Software/Notebook|Notebook]]
 |}