Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Complex network and gene ontology in pharmacology approaches: Mapping natural compounds on potential drug target colon cancer network

Bhattacharjee, Biplab, Jayadeepa, R. M., Talambedu, Usha, Banerjee, Sanghita, Joshi, Jayadev, Mole, Jilu Princy, Samuel, Joshua and Kumar Middha, Sushil 2011. Complex network and gene ontology in pharmacology approaches: Mapping natural compounds on potential drug target colon cancer network. Current Bioinformatics 6 (1) , pp. 44-52. 10.2174/157489311795222400

Full text not available from this repository.

Abstract

The specificity of drug targets is a great challenge in the pharma-proteomics field of cancer biology. In particular, bioinformatics methods based on complex networks and Gene Ontologies (GOs) are very useful in this area. This work reviews some bioinformatics concepts and previous studies related to Colorectal Cancer (CRC) research using GOs, complex networks, and related methods. Also, we report new results mapping natural compounds on potential drug target CRC network using GOs. The literature mining along with OMIM database gives the details of diseased genes which are further subjected to design a well connected gene regulatory network for cancer. The resultant network is then extrapolated to proteomics level to sort out the genes only expressed in the specific cancer types. The network is statistically analyzed and represented by the graphical interpretation to encounter the hub nodes and their locally parsed neighbors, ligands multi-receptor docking, and the propensity of drug targets in hub nodes and related sub-networks.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Mathematics
Medicine
MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Publisher: Bentham Science Publishers
ISSN: 1574-8936
Last Modified: 10 Mar 2020 02:37
URI: https://orca.cardiff.ac.uk/id/eprint/67345

Citation Data

Cited 22 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item