Domain-based computational approaches to understand the molecular basis of diseases

Description: Protein domains, or domains, are the evolutionary, structural and functional units of the proteins. Despite the obvious relevance of domains to understanding biological process at the molecular level, most high-throughput experimental data relating molecular information to biological process, including diseases, is only analyzed at the gene or protein level. I will introduce a new approach, the protein domain profiling, to analyze clinical data derived from microarray and other experimental high-throughput technology. I will show how to use this approach to integrate mutational, alternative splicing and other molecular events with protein interaction and gene expression. In addition, I will introduce HPDD, a database of human protein domains available at http://bioinf.umbc.edu/hpdd which provides a unique resource for study of protein domains and human diseases.

Type: Presentation

Authors: Maricel Kann

Date: September 05, 2008

Tags: bioinformatics, protenomics, genomics, kann

Format: PDF Document (Need a reader? Get one here)

Number of downloads: 537

Access Control: Publicly Available

Available for download as

size: 1717652 bytes

Assertions:

1. (Resource) Domain-based computational approaches to understand the molecular basis of diseases is the PowerPoint slides of (Event) Domain-based computational approaches to understand the molecular basis of diseases