 Connect2Decode (C2D) Phase 1 involved a massive c rowd sourcing approach to genome scale re-annotation of Mycobacterium tuberculosis to develop a systems biology platform towards identification of novel drug targets and predictive modeling.  OSDD focus on the identification of novel
drug targets in Mycobacterium tuberculosis. In this regard, over 800 student
researchers of the OSDD community contributed to the Phase I of the Connect2Decode
programme in December 2009. They undertook the enormous task of re-annotating
the genome of Mtb that involves the
identification of elements in the genome and attaching biological information
to these elements. More than 3900 Rv IDs were mapped to GO Terms. This exercise
helped the community gain more insight into the biology of the bacterium. 7924
peptides, involved in immune response were identified along with 262 novel
enzymes involved in a specialized cellular process called glycan modification.
At the end of this project they were also able to annotate 1195 proteins folds
and model the structure of 418 proteins with multiple domains. This is
important because, proteins are long molecules that cannot achieve their
correct function unless they are folded into specific configurations. The
community also took up and successfully accomplished the task of mapping 2500
RvID’s to Gene Ontology terms. This helped to standardize the representation of
gene and gene product attributes across various strains of Mtb. One very interesting aspect of this project is the Interactome
and metabolic pathway map construction of Mtb.
This aims to study and to generate a map of the inter-actions between different
proteins involved in the metabolic pathways of Mtb. This kind of map generation aids in the identification of new
drug targets and to rationally design drugs to aim at these targets. At the end
of this project, researchers could identify the interactions of about 3000
proteins and map them to the metabolic pathways they are involved in. |
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