Identification of SRC as a Potent Drug Target for Asthma, Using an Integrative Approach of Protein Interactome Analysis and In Silico Drug Discovery
IR@IHBT: CSIR-Institute of Himalayan Bioresource Technology, Palampur
View Archive Info| Field | Value | |
| Title |
Identification of SRC as a Potent Drug Target for Asthma,
Using an Integrative Approach of Protein Interactome
Analysis and In Silico Drug Discovery
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| Creator |
Randhawa, Vinay
Bagler, Ganesh |
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| Subject |
Bioinformatics
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| Description |
Network-biology inspired modeling of interactome data and computational chemistry have the potential to
revolutionize drug discovery by complementing conventional methods. We consider asthma, a complex disease
characterized by intricate molecular mechanisms, for our study. We aim to integrate prediction of potent drug
targets using graph-theoretical methods and subsequent identification of small molecules capable of modulating
activity of the best target. In this work, we construct the protein interactome underlying this disease: Asthma
Protein Interactome (API). Using a strategy based on network analysis of the interactome, we identify a set of
potential drug targets for asthma. Topologically and dynamically, v-src sarcoma (Schmidt-Ruppin A-2) viral
oncogene homolog (SRC) emerges as the most central target in API. SRC is known to play an important role in
promoting airway smooth muscle cell growth and facilitating migration in airway remodeling. From interactome
analysis, and with the reported role in respiratory mechanisms, SRC emerges as a promising drug target
for asthma. Further, we proceed to identify leads for SRC from a public database of small molecules. We predict
two potential leads for SRC using ligand-based virtual screening methodology.
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| Date |
2012
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://ihbt.csircentral.net/1348/1/135_Identification_of_SRC.pdf
Randhawa, Vinay and Bagler, Ganesh (2012) Identification of SRC as a Potent Drug Target for Asthma, Using an Integrative Approach of Protein Interactome Analysis and In Silico Drug Discovery. A Journal of Integrative Biology, 16 (10). pp. 1-14. |
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| Relation |
http://ihbt.csircentral.net/1348/
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