Construction and analysis of the molecular integrated network of human genes

• Grant number: 07/08466-8
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2008
• End date: March 31, 2010
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Ney Lemke
• Grantee: Pedro Rafael Costa
• Host Institution: Instituto de Biociências (IBB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil

Abstract

The reductionist approach has been effective in explaining the functioning of several biological processes. However, these processes have been shown to be extremely complex and to have emergent properties that cannot be explained, or even predicted, by such approach. To overcome these limitations, researches have adopted the systems biology approach, a new biology field that investigate how properties emerge from the nonlinear interaction of multiple components of biological processes. These interactions can be represented by a mathematical object called graph or network, where interacting elements are represented by nodes and interactions are represented by edges connecting pairs of nodes. In this project, we propose the construction and the topological analysis of the integrated molecular network of human genes containing protein physical interactions, transcriptional regulation interactions, metabolic interactions and microRNAs regulation interactions.

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

COSTA‚ P.R.; ACENCIO‚ M.L.; LEMKE‚ N.. A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data. BMC Genomics, v. 11, n. Suppl 5, p. S9, 2010. (07/02827-9, 07/01213-7, 07/08466-8)