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.